14.2.13 Fuzzy Clustering, Fuzzy Classification Techniques, Fuzzy C-Means

Chapter Contents (Back)
Fuzzy Clustering. Clustering. C-Means Clustering. Each data point belongs to a cluster to some degree (i.e. fuzzy membership). So has a rating for multiple clusters. See also Fuzzy Sets, Fuzzy Logic.

Gu, T., and Dubuisson, B.,
A Loose-Pattern Process Approach to Clustering Fuzzy Data Sets,
PAMI(7), No. 3, May 1985, pp. 366-372. BibRef 8505

Hathaway, R.J.[Richard J.], Bezdek, J.C.[James C.],
Local convergence of the fuzzy c-Means algorithms,
PR(19), No. 6, 1986, pp. 477-480.
WWW Link. 0309
BibRef

Hathaway, R.J.[Richard J.], Bezdek, J.C.[James C.], Davenport, J.W.[John W.],
On Relational Data Versions of C-Means Algorithms,
PRL(17), No. 6, May 15 1996, pp. 607-612. 9607
BibRef

Hathaway, R.J.[Richard J.], Davenport, J.W.[John W.], Bezdek, J.C.[James C.],
Relational duals of the C-means clustering algorithms,
PR(22), No. 2, 1989, pp. 205-212.
WWW Link. 0309
BibRef

Hathaway, R.J.[Richard J.], Bezdek, J.C.[James C.],
Nerf c-means: Non-Euclidean relational fuzzy clustering,
PR(27), No. 3, March 1994, pp. 429-437.
WWW Link. 0401
BibRef

Hathaway, R.J.[Richard J.], Bezdek, J.C.[James C.],
Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm,
PRL(23), No. 1-3, January 2002, pp. 151-160.
Elsevier DOI 0201
BibRef

Cannon, R.L., Dave, J.V., and Bezdek, J.C.,
Efficient Implementation of the Fuzzy C-Means Clustering Algorithm,
PAMI(8), No. 2, March 1986, pp. 248-255. BibRef 8603

Tsao, E.C.K.[Eric Chen-Kuo], Bezdek, J.C.[James C.], Pal, N.R.[Nikhil R.],
Fuzzy Kohonen clustering networks,
PR(27), No. 5, May 1994, pp. 757-764.
WWW Link. 0401
BibRef

Cannon, R.L.[Robert L.], Dave, J.V.[Jitendra V.], Bezdek, J.C.[James C.], and Trivedi, M.M.[Mohan M.],
Segmentation of a Thematic Mapper Image Using the Fuzzy C-Means Clustering Algorithms,
GeoRS(24), No. 3, May 1986, pp. 400-408.
IEEE Top Reference. BibRef 8605

Trivedi, M.M.[Mohan M.], and Bezdek, J.C.[James C.],
Low-level Segmentation of Aerial Images Using Fuzzy Clustering,
SMC(16), No. 4, July 1986, pp. 589- 598. BibRef 8607

Ismail, M.A., Selim, S.Z.[Shokri Z.],
Fuzzy C-Means: Optimality of solutions and effective termination of the algorithm,
PR(19), No. 6, 1986, pp. 481-485.
WWW Link. 0309
See also K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality. See also On the Local Optimality of the Fuzzy ISODATA Clustering Algorithm. BibRef

Selim, S.Z.[Shokri Z.], Ismail, M.A.,
Soft clustering of multidimensional data: a semi-fuzzy approach,
PR(17), No. 5, 1984, pp. 559-568.
WWW Link. 0309
BibRef

Selim, S.Z.[Shokri Z.],
Comments on: optimality test for fixed points,
PR(23), No. 11, 1990, pp. 1307-1308.
WWW Link. 0401
See also Optimality tests for fixed points of the fuzzy c-means algorithm. BibRef

Kamel, M.S.[Mohamed S.], Selim, S.Z.[Shokri Z.],
New algorithms for solving the fuzzy clustering problem,
PR(27), No. 3, March 1994, pp. 421-428.
WWW Link. 0401
BibRef

Kamel, M.S.[Mohamed S.], Selim, S.Z.[Shokri Z.],
A thresholded fuzzy c-means algorithm for semi-fuzzy clustering,
PR(24), No. 9, 1991, pp. 825-833.
WWW Link. 0401
BibRef

Al-Sultan, K.S.[Khaled S.], Selim, S.Z.[Shokri Z.],
A global algorithm for the fuzzy clustering problem,
PR(26), No. 9, September 1993, pp. 1357-1361.
WWW Link. 0401
See also Tabu search approach to the clustering problem, A. BibRef

Kent, J.T., and Mardia, K.V.,
Spatial Classification Using Fuzzy Membership Models,
PAMI(10), No. 5, September 1988, pp. 659-671.
IEEE DOI BibRef 8809

Lopez de Mantaras, R., and Valverde, L.,
New Results in Fuzzy Clustering Based on the Concept of Indistinguishability Relation,
PAMI(10), No. 5, September 1988, pp. 754-757.
IEEE DOI BibRef 8809

Gath, I., and Geva, A.B.,
Unsupervised Optimal Fuzzy Clustering,
PAMI(11), No. 7, July 1989, pp. 773-780.
IEEE DOI BibRef 8907

Policker, S., Geva, A.B.,
A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering,
ICPR00(Vol II: 728-731).
IEEE DOI 0009
BibRef

Babu, G.P.[G. Phanendra], Murty, M.N.[M. Narasimha],
Clustering with evolution strategies,
PR(27), No. 2, February 1994, pp. 321-329.
WWW Link. 0401
BibRef

Asharaf, S., Murty, M.N.[M. Narasimha],
An adaptive rough fuzzy single pass algorithm for clustering large data sets,
PR(36), No. 12, December 2003, pp. 3015-3018.
WWW Link. 0310
BibRef

Asharaf, S., Murty, M.N.[M. Narasimha], Shevade, S.K.,
Rough set based incremental clustering of interval data,
PRL(27), No. 6, 15 April 2006, pp. 515-519.
WWW Link. 0604
Clustering; Leader; Interval data; Rough set See also Rough support vector clustering. BibRef

Lenart, C.[Cristian],
Defining separability of two fuzzy clusters by a fuzzy decision hyperplane,
PR(26), No. 9, September 1993, pp. 1351-1356.
WWW Link. 0401
BibRef

Marsililibelli, S., Muller, A.,
Adaptive Fuzzy Pattern-Recognition in the Anaerobic-Digestion Process,
PRL(17), No. 6, May 15 1996, pp. 651-659. 9607
BibRef

Bandemer, H.,
Specifying Fuzzy Data from Grey-Tone Pictures for Pattern-Recognition,
PRL(17), No. 6, May 15 1996, pp. 585-592. 9607
BibRef
And: Correction: PRL(17), No. 13, November 25 1996, pp. 1413-1413. BibRef

Beni, G., Liu, X.M.,
A Least Biased Fuzzy Clustering Method,
PAMI(16), No. 9, September 1994, pp. 954-960.
IEEE DOI BibRef 9409

Man, Y., Gath, I.,
Detection and Separation of Ring-Shaped Clusters Using Fuzzy Clustering,
PAMI(16), No. 8, August 1994, pp. 855-861.
IEEE DOI BibRef 9408

Cai, Y.Y., Loh, H.T., Nee, A.Y.C.,
Qualitative Primitive Identification Using Fuzzy Clustering and Invariant Approach,
IVC(14), No. 7, July 1996, pp. 451-464.
WWW Link. 9607
BibRef

Chen, N.X., Bedrosian, S.D.,
Effect of Fuzzy Membership on Recognition of Gray Level Images,
PRL(4), 1986, pp. 443-447. BibRef 8600

Binaghi, E., Madella, P., Montesano, M.G., Rampini, A.,
Fuzzy Contextual Classification of Multisource Remote Sensing Images,
GeoRS(35), No. 2, March 1997, pp. 326-340.
IEEE Top Reference. 9704
BibRef

Binaghi, E., Gallo, I., Pepe, M.,
A cognitive pyramid for contextual classification of remote sensing images,
GeoRS(41), No. 12, December 2003, pp. 2906-2922.
IEEE Abstract. 0402
BibRef

Gallo, I.[Ignazio], Binaghi, E.[Elisabetta],
Information Extraction and Classification from Free Text Using a Neural Approach,
CIARP07(921-929).
Springer DOI 0711
BibRef

Gath, I., Iskoz, A.S., Vancutsem, B.,
Data Induced Metric and Fuzzy Clustering of Nonconvex Patterns of Arbitrary Shape,
PRL(18), No. 6, June 1997, pp. 541-553. 9710
BibRef

Mannan, B., Roy, J., Ray, A.K.,
Fuzzy Artmap Supervised Classification of Multispectral Remotely Sensed Images,
JRS(19), No. 4, March 10 1998, pp. 767-774. 9803
BibRef

Tolias, Y.A., Panas, S.M.,
Image Segmentation by a Fuzzy Clustering-Algorithm Using Adaptive Spatially Constrained Membership Functions,
SMC-A(28), No. 3, May 1998, pp. 359-369.
IEEE Top Reference. 9805
See also Fuzzy Vessel Tracking Algorithm for Retinal Images Based on Fuzzy Clustering, A. BibRef

Mari, M., Dellepiane, S.G.,
A Nonlinear Image Processing Approach Through Fuzzy Measures,
PRL(18), No. 11-13, November 1997, pp. 1109-1115. 9806
BibRef

Dellepiane, S.G., Fontana, F., Vernazza, G.L.,
Nonlinear Image Labeling for Multivalued Segmentation,
IP(5), No. 3, March 1996, pp. 429-446.
IEEE DOI BibRef 9603

Israel, S.A., Kasabov, N.K.,
Statistical, Connectionist, and Fuzzy Inference Techniques for Image Classification,
JEI(6), No. 3, July 1997, pp. 337-347. 9807
BibRef

Boninsegna, M., Coianiz, T., Trentin, E.,
Estimating the Crowding Level with a Neuro-Fuzzy Classifier,
JEI(6), No. 3, July 1997, pp. 319-328. 9807
BibRef

Cheung, K.F.,
Fuzzy One-Mean Algorithm: Formulation, Convergence Analysis, and Applications,
JIFS(5), No. 4, 1997, pp. 323-332. 9809
BibRef

Somasundaram, A., Somasundaram, S.,
Domination in Fuzzy Graphs: I,
PRL(19), No. 9, 31 July 1998, pp. 787-791. BibRef 9807

Singh, S.[Sameer],
Effect of noise on generalisation in massively parallel fuzzy systems,
PR(31), No. 11, November 1998, pp. 1767-1775.
WWW Link. BibRef 9811

Wu, P.S.[Paul S.], Li, M.[Ming],
Supervised and unsupervised fuzzy-adaptive Hamming net,
PR(32), No. 10, October 1999, pp. 1801-1816.
WWW Link. BibRef 9910

Singh, S.,
A Single Nearest Neighbor Fuzzy Approach for Pattern Recognition,
PRAI(13), No. 1, February 1999, pp. 49. BibRef 9902

Dinda, T.K.[Tapan K.], Ray, K.S.[Kumar S.], Chakraborty, M.K.[Mihir K.],
Fuzzy relational calculus approach to multidimensional pattern classification,
PR(32), No. 6, June 1999, pp. 973-995.
WWW Link. BibRef 9906

Ray, K.S., Dinda, T.K.,
Pattern classification using fuzzy relational calculus,
SMC-B(33), No. 1, February 2003, pp. 1-16.
IEEE Top Reference. 0301
BibRef

Melgani, F., Al Hashemy, B.A.R., Taha, S.M.R.,
An Explicit Fuzzy Supervised Classification Method for Multispectral Remote Sensing Images,
GeoRS(38), No. 1, January 2000, pp. 287-295.
IEEE Top Reference. 0002
BibRef

Alonso-Betanzos, A.[Amparo], Arcay-Varela, B.[Bernardino], Castro-Martínez, A.[Alfonso],
Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images,
IVC(18), No. 13, October 2000, pp. 1045-1054.
WWW Link. 0008
BibRef

Castro, A.[Alfonso], Bóveda, C.[Carmen], Rey, A.[Alberto], Arcay, B.[Bernardino],
An Analysis of Different Clustering Algorithms for ROI Detection in High Resolutions CT Lung Images,
ICCVG10(I: 241-248).
Springer DOI 1009
BibRef

Castro-Martínez, A.[Alfonso], Bóveda, C.[Carmen], Arcay, B.[Bernardino],
Analysis of Fuzzy Clustering Algorithms for the Segmentation of Burn Wounds Photographs,
ICIAR06(II: 491-501).
Springer DOI 0610
BibRef

Ménard, M.[Michel], Demko, C.[Christophe], Loonis, P.[Pierre],
The fuzzy C+2-Means: solving the ambiguity rejection in clustering,
PR(33), No. 7, July 2000, pp. 1219-1237.
WWW Link. 0005
BibRef

Liew, A.W.C.[Alan Wee-Chung], Leung, S.H., Lau, W.H.,
Fuzzy image clustering incorporating spatial continuity,
VISP(147), No. 2, April 2000, pp. 185. 0005
BibRef

Ozols, J., Borisov, A.,
Fuzzy classification based on pattern projections analysis,
PR(34), No. 4, April 2001, pp. 763-781.
WWW Link. 0101
BibRef

Martínez Trinidad, J.F.[José Francisco], Ruiz Shulcloper, J.[José],
Fuzzy clustering of semantic spaces,
PR(34), No. 4, April 2001, pp. 783-793.
WWW Link. 0101
BibRef

Seong, J.C.[Jeong Chang], Usery, E.L.[E. Lynn],
Fuzzy Image Classification for Continental-Scale Multitemporal NDVI Series Images Using Invariant Pixels and an Image Stratification Method,
PhEngRS(67), No. 3, March 2001, pp. 287-294. Use invariant pixels for land-cover classification with NDVI images covering a large area to provide ground-truth data. 0102
BibRef

Palshikar, G.K.[Girish Keshav],
A fuzzy temporal notation and its application to specify fault patterns for diagnosis,
PRL(22), No. 3-4, March 2001, pp. 381-394.
Elsevier DOI 0105
Classification. BibRef

Quek, C., Tung, W.L.,
A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture,
PRL(22), No. 9, July 2001, pp. 941-958.
Elsevier DOI 0106
BibRef

Quah, K.H., Quek, C., Leedham, G.,
Reinforcement learning combined with a fuzzy adaptive learning control network (FALCON-R) for pattern classification,
PR(38), No. 4, April 2005, pp. 513-526.
WWW Link. 0501
BibRef

Hsu, Y.C.[Ya-Chen], Chen, G.R.[Guan-Rong], Li, H.X.[Han-Xiong],
A fuzzy adaptive variable structure controller with applications to robot manipulators,
SMC-B(31), No. 3, June 2001, pp. 331-340.
IEEE Top Reference. 0108
BibRef

Ramot, D., Milo, R., Friedman, M., Kandel, A.,
On fuzzy correlations,
SMC-B(31), No. 3, June 2001, pp. 381-390.
IEEE Top Reference. 0108
BibRef

Schenker, A.[Adam], Last, M.[Mark], Bunke, H.[Horst], Kandel, A.[Abraham],
Fuzzy Clustering With Genetically Adaptive Scaling,
IJIG(2), No. 4, October 2002, pp. 557-572. 0210
BibRef

Pascual-Marqui, R.D., Pascual-Montano, A.D., Kochi, K., Carazo, J.M.,
Smoothly distributed fuzzy C-means: a new self-organizing map,
PR(34), No. 12, December 2001, pp. 2395-2402.
WWW Link. 0110
BibRef
Earlier:
A New Self-organizing Map Based on Smoothly Distributed Fuzzy C-means,
ICPR00(Vol II: Not in proceedings). 0009
BibRef

Yu, S.X.[Shi-Xin], de Backer, S.[Steve], Scheunders, P.[Paul],
Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery,
PRL(23), No. 1-3, January 2002, pp. 183-190.
Elsevier DOI 0201
BibRef

Yager, R.R.,
Using fuzzy methods to model nearest neighbor rules,
SMC-B(32), No. 4, August 2002, pp. 512-525.
IEEE Top Reference. 0207
BibRef

Yager, R.R., and Filev, D.P.,
Approximate Clustering via the Mountain Method,
SMC(24), No. 8, 1994, pp. 1279-1284. BibRef 9400

Yager, R.R., and Filev, D.P.,
Generation of Fuzzy Rules by Mountain Clustering,
JIFS(2), 1994, pp. 209-219. BibRef 9400

Rickard, J.T., Yager, R.R., Miller, W.,
Mountain Clustering on Non-Uniform Grids Using P-Trees,
FuzzyOpt(4), No. 2, April 2005, pp. 87-102.
Springer DOI BibRef 0504
Earlier:
Mountain clustering on nonuniform grids,
AIPR04(106-111).
IEEE DOI 0410
BibRef

Belacel, N.[Nabil], Hansen, P.[Pierre], Mladenovic, N.[Nenad],
Fuzzy J-Means: a new heuristic for fuzzy clustering,
PR(35), No. 10, October 2002, pp. 2193-2200.
WWW Link. 0206
BibRef

La Plante, F.[François], Kardouchi, M.[Mustapha], Belacel, N.[Nabil],
Image Categorization Using a Heuristic Automatic Clustering Method Based on Hierarchical Clustering,
ICIAR15(150-158).
Springer DOI 1507
BibRef

Wu, K.L.[Kuo-Lung], Yang, M.S.[Miin-Shen],
Alternative c-means clustering algorithms,
PR(35), No. 10, October 2002, pp. 2267-2278.
WWW Link. 0206
New metric to replace the Euclidean norm in c-means clustering procedures. See also Mean shift-based clustering. BibRef

Yang, M.S.[Miin-Shen], Wu, K.L.[Kuo-Lung],
A similarity-based robust clustering method,
PAMI(26), No. 4, April 2004, pp. 434-448.
IEEE Abstract. 0403
Robust to initialization, robust to cluster volumes, robust to noise and outliers. Alternating optimization procedure. BibRef

Wu, K.L.[Kuo-Lung], Yang, M.S.[Miin-Shen],
A cluster validity index for fuzzy clustering,
PRL(26), No. 9, 1 July 2005, pp. 1275-1291.
WWW Link. 0506
BibRef

Wu, K.L.[Kuo-Lung],
Analysis of parameter selections for fuzzy c-means,
PR(45), No. 1, 2012, pp. 407-415.
Elsevier DOI 1410
Fuzzy clustering BibRef

Shen, Q.A.[Qi-Ang], Chouchoulas, A.[Alexios],
Combining rough sets and data-driven fuzzy learning for generation of classification rules,
PR(32), No. 12, December 1999, pp. 2073-2076.
WWW Link. BibRef 9912

Shen, Q.A.[Qi-Ang], Chouchoulas, A.[Alexios],
A rough-fuzzy approach for generating classification rules,
PR(35), No. 11, November 2002, pp. 2425-2438.
WWW Link. 0208
BibRef

Kong, X.W.[Xiang-Wei], Wang, R.Y.[Ren-Ying], Li, G.P.[Guo-Ping],
Fuzzy clustering algorithms based on resolution and their application in image compression,
PR(35), No. 11, November 2002, pp. 2439-2444.
WWW Link. 0208
BibRef

Zhang, M.R.[Ming-Rui], Hall, L.O.[Lawrence O.], Goldgof, D.B.[Dmitry B.],
A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms,
SMC-B(32), No. 5, October 2002, pp. 571-582.
IEEE Top Reference. 0210
See also scalable framework for cluster ensembles, A. BibRef

Clark, M.C., Hall, L.O., Li, C.L.[Chun-Lin], Goldgof, D.B.,
Knowledge based (re-)clustering,
ICPR94(B:245-250).
IEEE DOI 9410
BibRef

Hu, Y.C.[Yi-Chung], Chen, R.S.[Ruey-Shun], Tzeng, G.H.[Gwo-Hshiung],
Finding fuzzy classification rules using data mining techniques,
PRL(24), No. 1-3, January 2003, pp. 509-519.
Elsevier DOI 0211
BibRef

Fan, J.L.[Jiu-Lun], Zhen, W.Z.[Wen-Zhi], Xie, W.X.[Wei-Xin],
Suppressed fuzzy c-means clustering algorithm,
PRL(24), No. 9-10, June 2003, pp. 1607-1612.
WWW Link. 0304
BibRef

Aidarkhanov, M.B., La, L.L.,
On stability of group fuzzy classification algorithms,
PRL(24), No. 12, August 2003, pp. 1921-1924.
WWW Link. 0304
BibRef

Abonyi, J.[Janos], Szeifert, F.[Ferenc],
Supervised fuzzy clustering for the identification of fuzzy classifiers,
PRL(24), No. 14, October 2003, pp. 2195-2207.
WWW Link. 0307
BibRef

Liu, H.[Hong], Huang, S.T.[Shang-Teng],
Evolutionary semi-supervised fuzzy clustering,
PRL(24), No. 16, December 2003, pp. 3105-3113.
WWW Link. 0310
BibRef

Shackelford, A.K., Davis, C.H.,
A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas,
GeoRS(41), No. 9, September 2003, pp. 1920-1932.
IEEE Abstract. 0310
BibRef

Shackelford, A.K., Davis, C.H.,
A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas,
GeoRS(41), No. 10, October 2003, pp. 2354-2364.
IEEE Abstract. 0310
BibRef

Kim, D.W.[Dae-Won], Lee, K.H.[Kwang H.], Lee, D.[Doheon],
A novel initialization scheme for the fuzzy c-means algorithm for color clustering,
PRL(25), No. 2, January 2004, pp. 227-237.
WWW Link. 0401
BibRef

Zhang, D.Q.[Dao-Qiang], Chen, S.C.[Song-Can],
A comment on 'Alternative c-means clustering algorithms',
PR(37), No. 2, February 2004, pp. 173-174.
WWW Link. 0311
See also Alternative c-means clustering algorithms. BibRef

Cinque, L., Foresti, G.L., Lombardi, L.,
A clustering fuzzy approach for image segmentation,
PR(37), No. 9, September 2004, pp. 1797-1807.
WWW Link. 0407
BibRef

Cinque, L., Foresti, G.L., Gumina, A., Levialdi, S.,
A modified fuzzy ART for image segmentation,
CIAP01(102-107).
WWW Link. 0210
BibRef

Wang, X.Z.[Xi-Zhao], Wang, Y.D.[Ya-Dong], Wang, L.J.[Li-Juan],
Improving Fuzzy C-Means Clustering Based on Feature-Weight Learning,
PRL(25), No. 10, 16 July 2004, pp. 1123-1132.
WWW Link. 0407
See also Improving Performance of Similarity-Based Clustering by Feature Weight Learning. BibRef

Kim, D.W.[Dae-Won], Lee, K.H.[Kwang H.], Lee, D.[Doheon],
Fuzzy clustering of categorical data using fuzzy centroids,
PRL(25), No. 11, August 2004, pp. 1263-1271.
WWW Link. 0409
Extend to fuzzy centroids. BibRef

Chang, X., Lilly, J.H.,
Evolutionary Design of a Fuzzy Classifier From Data,
SMC-B(34), No. 4, August 2004, pp. 1894-1906.
IEEE Abstract. 0409
BibRef

Mitra, S.[Sushmita],
An evolutionary rough partitive clustering,
PRL(25), No. 12, September 2004, pp. 1439-1449.
WWW Link. 0409
Evolutionary C-Means clustering. BibRef

Zhang, D.Q.[Dao-Qiang], Chen, S.C.[Song-Can],
Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure,
SMC-B(34), No. 4, August 2004, pp. 1907-1916.
IEEE Abstract. 0409
(FCM: Fuzzy C-Means Clustering). BibRef

Zhang, D.Q.[Dao-Qiang], Chen, S.C.[Song-Can], Zhou, Z.H.[Zhi-Hua],
Learning the kernel parameters in kernel minimum distance classifier,
PR(39), No. 1, January 2006, pp. 133-135.
WWW Link. 0512
BibRef

di Gesů, V.[Vito], lo Bosco, G.[Giosuč],
A genetic integrated fuzzy classifier,
PRL(26), No. 4, March 2005, pp. 411-420.
WWW Link. 0501
BibRef

Yu, J., Yang, M.S.,
A Note on the ICS Algorithm With Corrections and Theoretical Analysis,
IP(14), No. 7, July 2005, pp. 973-978.
IEEE DOI 0506
intercluster separation fuzzy clustering. Point out errors in ICS algorithm of See also Fuzzy algorithms for combined quantization and dithering. and show corrections. BibRef

Bhatt, R.B.[Rajen B.], Gopal, M.,
On fuzzy-rough sets approach to feature selection,
PRL(26), No. 7, 15 May 2005, pp. 965-975.
WWW Link. 0506
BibRef

Bhatt, R.B.[Rajen B.], Gopal, M.,
On the compact computational domain of fuzzy-rough sets,
PRL(26), No. 11, August 2005, pp. 1632-1640.
WWW Link. 0506
BibRef

Bhatt, R.B.[Rajen B.], Gopal, M.,
On the extension of functional dependency degree from crisp to fuzzy partitions,
PRL(27), No. 5, 1 April 2006, pp. 487-491.
WWW Link. Dependency degree; Fuzzy-rough sets; Rough sets 0604
BibRef

Alexiuk, M.D.[Mark D.], Pizzi, N.J.[Nicolino J.],
Robust centroids using fuzzy clustering with feature partitions,
PRL(26), No. 8, June 2005, pp. 1039-1046.
WWW Link. 0506
BibRef

de Cáceres, M.[Miquel], Oliva, F.[Francesc], Font, X.[Xavier],
On relational possibilistic clustering,
PR(39), No. 11, November 2006, pp. 2010-2024.
WWW Link. 0608
Cluster analysis; Possibilistic c-means; Relational data; Dissimilarity measures BibRef

Cai, W.L.[Wei-Ling], Chen, S.C.[Song-Can], Zhang, D.Q.[Dao-Qiang],
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation,
PR(40), No. 3, March 2007, pp. 825-838.
WWW Link. 0611
Award, Pattern Recognition, Honorable Mention. Fuzzy c-means clustering (FCM); Enhanced fuzzy c-means clustering; Image segmentation; Robustness; Spatial constraints; Gray constraints; Fast clustering BibRef

Cai, W.L.[Wei-Ling], Chen, S.C.[Song-Can], Zhang, D.Q.[Dao-Qiang],
A simultaneous learning framework for clustering and classification,
PR(42), No. 7, July 2009, pp. 1248-1259.
Elsevier DOI 0903
Structure in data; Bayesian theory; Clustering learning; Classification learning; Simultaneous classification and clustering learning BibRef

de Carvalho, F.A.T.[Francisco A.T.],
Fuzzy c-means clustering methods for symbolic interval data,
PRL(28), No. 4, 1 March 2007, pp. 423-437.
WWW Link. 0701
Symbolic data analysis; Fuzzy c-means clustering methods; Symbolic interval data; Squared euclidean distances; Adaptive distances; Fuzzy partition interpretation indices; Fuzzy cluster interpretation indices BibRef

Dai, S.S.[Shuang-Shuang], Dhawan, A.P.[Atam P.],
Adaptive learning for event modeling and characterization,
PR(40), No. 5, May 2007, pp. 1544-1555.
WWW Link. 0702
Hierarchical clustering; Fuzzy k-means clustering; Adaptive learning; Event modeling BibRef

Hu, Y.K., Hu, Y.P.,
Global optimization in clustering using hyperbolic cross points,
PR(40), No. 6, June 2007, pp. 1722-1733.
WWW Link. 0704
Clustering; Fuzzy c-means; Hard c-means; Global optimization; Hyperbolic cross points; Genetic algorithms BibRef

Zhou, E.W.[En-Wang], Khotanzad, A.[Alireza],
Fuzzy classifier design using genetic algorithms,
PR(40), No. 12, December 2007, pp. 3401-3414.
WWW Link. 0709
Fuzzy classifier; Genetic algorithms; Optimization of fuzzy parameters; Fuzzy rule extraction; Pattern classification BibRef

Mota, G.L.A.[Guilherme L.A.], Feitosa, R.Q.[Raul Q.], Coutinho, H.L.C.[Heitor L.C.], Liedtke, C.E.[Claus-Eberhard], Muller, S.[Sonke], Pakzad, K.[Kian], Meirelles, M.S.P.[Margareth S.P.],
Multitemporal fuzzy classification model based on class transition possibilities,
PandRS(62), No. 3, August 2007, pp. 186-200.
WWW Link. 0709
Remote sensing; Knowledge-base representation; Multitemporal interpretation; Fuzzy logic BibRef

Feitosa, R.Q.[Raul Q.], da Costa, G.A.O.P.[Gilson A.O.P.], Mota, G.L.A.[Guilherme L.A.], Pakzad, K.[Kian], Costa, M.C.O.[Maria C.O.],
Cascade multitemporal classification based on fuzzy Markov chains,
PandRS(64), No. 2, March 2009, pp. 159-170.
Elsevier DOI 0903
Cascade classifier; Multitemporal classification; Fuzzy classifier; Fuzzy Markov chain BibRef

Ding, Y.F.[Yun-Fei], Harrison, R.F.[Robert F.],
Relational visual cluster validity (RVCV),
PRL(28), No. 15, 1 November 2007, pp. 2071-2079.
WWW Link. 0711
Clustering; Cluster validity; Relational data; Non-Euclidean fuzzy c-means; Visual cluster validity BibRef

Cai, W.L.[Wei-Ling], Chen, S.C.[Song-Can], Zhang, D.Q.[Dao-Qiang],
Robust fuzzy relational classifier incorporating the soft class labels,
PRL(28), No. 16, December 2007, pp. 2250-2263.
WWW Link. 0711
Fuzzy c-means clustering (FCM); Fuzzy relations; Fuzzy relational classifier; Kernelized FCM (KFCM); Soft class label; Pattern classification BibRef

Masson, M.H.[Marie-Helene], Denoeux, T.,
ECM: An evidential version of the fuzzy c-means algorithm,
PR(41), No. 4, April 2008, pp. 1384-1397.
WWW Link. 0801
Clustering; Unsupervised learning; Dempster-Shafer theory; Evidence theory; Belief functions; Cluster validity; Robustness BibRef

Masson, M.H.[Marie-Helene], Denoeux, T.[Thierry],
RECM: Relational evidential c-means algorithm,
PRL(30), No. 11, 1 August 2009, pp. 1015-1026.
Elsevier DOI 0909
Clustering; Proximity data; Unsupervised learning; Dempster-Shafer theory; Belief functions BibRef

Mohamadi, H.[Hamid], Habibi, J.[Jafar], Abadeh, M.S.[Mohammad Saniee], Saadi, H.[Hamid],
Data mining with a simulated annealing based fuzzy classification system,
PR(41), No. 5, May 2008, pp. 1841-1850.
WWW Link. 0711
Simulated annealing; Data mining; Pattern classification; Fuzzy systems; Fuzzy rule extraction BibRef

Grira, N.[Nizar], Crucianu, M.[Michel], Boujemaa, N.[Nozha],
Active semi-supervised fuzzy clustering,
PR(41), No. 5, May 2008, pp. 1851-1861.
WWW Link. 0711
Semi-supervised clustering; Image database categorization; Pairwise constraints; Active learning BibRef

Laskaris, N.A.[Nikolaos A.], Zafeiriou, S.P.[Stefanos P.],
Beyond FCM: Graph-theoretic post-processing algorithms for learning and representing the data structure,
PR(41), No. 8, August 2008, pp. 2630-2644.
WWW Link. 0805
Fuzzy clustering; Manifold learning; Prototyping; Spectral-graph theory; Visual data mining BibRef

Zafeiriou, S.P.[Stefanos P.], Laskaris, N.A.[Nikolaos A.],
Nonnegative Embeddings and Projections for Dimensionality Reduction and Information Visualization,
ICPR10(726-729).
IEEE DOI 1008
BibRef

Pedrycz, W.[Witold], Hirota, K.[Kaoru],
A consensus-driven fuzzy clustering,
PRL(29), No. 9, 1 July 2008, pp. 1333-1343.
WWW Link. 0711
Fuzzy clustering with consensus; Proximity matrix; Knowledge-based clustering; Local and global quality assessment of information granules See also Fuzzy sets in pattern recognition: Methodology and methods. BibRef

Mitra, S.[Sushmita], Pedrycz, W.[Witold], Barman, B.[Bishal],
Shadowed c-means: Integrating fuzzy and rough clustering,
PR(43), No. 4, April 2010, pp. 1282-1291.
Elsevier DOI 1002
Shadowed sets; c-Means algorithm; Three-valued logic; Cluster validity index; Fuzzy sets; Rough sets BibRef

Miyamoto, S.[Sadaaki], Alanzado, A.C.[Arnold C.],
Fuzzy C-means And Mixture Distribution Models In The Presence Of Noise Clusters,
IJIG(2), No. 4, October 2002, pp. 573-586. 0210
BibRef

Yang, M.S.[Miin-Shen], Tsai, H.S.[Hsu-Shen],
A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction,
PRL(29), No. 12, 1 September 2008, pp. 1713-1725.
WWW Link. 0804
Fuzzy clustering; Fuzzy c-means (FCM); Gaussian kernel-based FCM; Spatial bias correction; Image segmentation; MRI data BibRef

Chatzis, S.P.[Sotirios P.], Varvarigou, T.A.[Theodora A.],
Robust fuzzy clustering using mixtures of Student's-t distributions,
PRL(29), No. 13, 1 October 2008, pp. 1901-1905.
WWW Link. 0804
Fuzzy clustering; Fuzzy c-means; Finite mixture models; Student's-t distributions BibRef

Chatzis, S.P.[Sotirios P.], Kosmopoulos, D.I.[Dimitrios I.], Varvarigou, T.A.[Theodora A.],
Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model,
PAMI(31), No. 9, September 2009, pp. 1657-1669.
IEEE DOI 0907
BibRef

Chatzis, S.P.[Sotirios P.], Kosmopoulos, D.I.[Dimitrios I.],
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures,
PR(44), No. 2, February 2011, pp. 295-306.
Elsevier DOI 1011
Hidden Markov models; Student's-t distribution; Variational Bayes; Speaker identification; Robotic task failure; Violence detection BibRef

Chatzis, S.P., Kosmopoulos, D.I.,
Visual Workflow Recognition Using a Variational Bayesian Treatment of Multistream Fused Hidden Markov Models,
CirSysVideo(22), No. 7, July 2012, pp. 1076-1086.
IEEE DOI 1208
BibRef

Chatzis, S.P.[Sotirios P.],
Hidden Markov Models with Nonelliptically Contoured State Densities,
PAMI(32), No. 12, December 2010, pp. 2297-2304.
IEEE DOI 1011
BibRef

Kosmopoulos, D.I.[Dimitrios I.], Chatzis, S.P.[Sotirios P.],
Robust Visual Behavior Recognition,
SPMag(27), No. 5, 2010, pp. 34-45.
IEEE DOI 1003
BibRef

Chatzis, S.P.[Sotirios P.], Tsechpenakis, G.[Gavriil],
The infinite Hidden Markov random field model,
ICCV09(654-661).
IEEE DOI 0909
BibRef

Chatzis, S.P.[Sotirios P.], Demiris, Y.[Yiannis],
A reservoir-driven non-stationary hidden Markov model,
PR(45), No. 11, November 2012, pp. 3985-3996.
Elsevier DOI 1206
Hidden Markov model; Dirichlet process; Reservoir BibRef

Chatzis, S.P.[Sotirios P.], Kosmopoulos, D.I.[Dimitrios I.], Papadourakis, G.M.[George M.],
A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies,
ISVC14(II: 51-62).
Springer DOI 1501
BibRef

Chatzis, S.P.[Sotirios P.], Demiris, Y.[Yiannis],
The Infinite-Order Conditional Random Field Model for Sequential Data Modeling,
PAMI(35), No. 6, June 2013, pp. 1523-1534.
IEEE DOI 1305
learning applications. nonparametric Bayesian approach for modeling label sequences. mean-field-like approximation of the model marginal likelihood. BibRef

Fan, J.C.[Jian-Chao], Han, M.[Min], Wang, J.[Jun],
Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation,
PR(42), No. 11, November 2009, pp. 2527-2540.
Elsevier DOI 0907
Clustering; Attribute weights; Center initialization; Fuzzy C-means; Image segmentation BibRef

Wu, K.L.[Kuo-Lung], Yang, M.S.[Miin-Shen], Hsieh, J.N.[June-Nan],
Mountain c-regressions method,
PR(43), No. 1, January 2010, pp. 86-98.
Elsevier DOI 0909
Switching regressions; Fuzzy clustering; Fuzzy c-regressions; Mountain clustering; Mountain c-regressions BibRef

Falasconi, M., Gutierrez, A., Pardo, M., Sberveglieri, G., Marco, S.,
A stability based validity method for fuzzy clustering,
PR(43), No. 4, April 2010, pp. 1292-1305.
Elsevier DOI 1002
Fuzzy c-means; Cluster validity; Number of clusters; Cluster stability BibRef

Liu, J.[Jian],
Detecting the fuzzy clusters of complex networks,
PR(43), No. 4, April 2010, pp. 1334-1345.
Elsevier DOI 1002
Fuzzy clusters; Optimal prediction; k-Means; Fuzzy c-means; Steepest descent; Conjugate gradient; Projection BibRef

Fang, H.[Hua], Rizzo, M.L.[Maria L.], Wang, H.G.[Hong-Gang], Espy, K.A.[Kimberly Andrews], Wang, Z.Y.[Zhen-Yuan],
A new nonlinear classifier with a penalized signed fuzzy measure using effective genetic algorithm,
PR(43), No. 4, April 2010, pp. 1393-1401.
Elsevier DOI 1002
Choquet integral; Signed fuzzy measure; Classification; Optimization; Genetic algorithm BibRef

Yu, Z.D.[Zhi-Ding], Au, O.C.[Oscar C.], Zou, R.B.[Ruo-Bing], Yu, W.Y.[Wei-Yu], Tian, J.[Jing],
An adaptive unsupervised approach toward pixel clustering and color image segmentation,
PR(43), No. 5, May 2010, pp. 1889-1906.
Elsevier DOI 1003
Ant system; Clustering; Fuzzy C-means; Image segmentation BibRef

Yu, Z.D.[Zhi-Ding], Li, A.[Ang], Au, O.C.[Oscar C.], Xu, C.J.[Chun-Jing],
Bag of textons for image segmentation via soft clustering and convex shift,
CVPR12(781-788).
IEEE DOI 1208
BibRef

Yu, Z.D.[Zhi-Ding], Au, O.C.[Oscar C.], Tang, K.[Ketan], Xu, C.J.[Chun-Jing],
Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image segmentation,
CVPR11(2201-2208).
IEEE DOI 1106
BibRef

Mei, J.P.[Jian-Ping], Chen, L.H.[Li-Hui],
Fuzzy clustering with weighted medoids for relational data,
PR(43), No. 5, May 2010, pp. 1964-1974.
Elsevier DOI 1003
Fuzzy clustering; (Dis)similarity-based; k-Medoids; Prototype weight BibRef

Egozi, A.[Amir], Keller, Y.[Yosi], Guterman, H.[Hugo],
Improving Shape Retrieval by Spectral Matching and Meta Similarity,
IP(19), No. 5, May 2010, pp. 1319-1327.
IEEE DOI 1004
BibRef

Egozi, A.[Amir], Keller, Y.[Yosi], Guterman, H.[Hugo],
A Probabilistic Approach to Spectral Graph Matching,
PAMI(35), No. 1, January 2013, pp. 18-27.
IEEE DOI 1212
BibRef

Krinidis, S., Chatzis, V.,
A Robust Fuzzy Local Information C-Means Clustering Algorithm,
IP(19), No. 5, May 2010, pp. 1328-1337.
IEEE DOI 1004
See also Comments on A Robust Fuzzy Local Information C-Means Clustering Algorithm. BibRef

Son, C.S.[Chang Sik], Kim, Y.N.[Yoon-Nyun], Park, K.R.[Kyung-Ri], Park, H.J.[Hee-Joon],
Design of Hierarchical Fuzzy Classification System Based on Statistical Characteristics of Data,
IEICE(E93-D), No. 8, August 2010, pp. 2319-2323.
WWW Link. 1008
BibRef

Maulik, U.[Ujjwal], Saha, I.[Indrajit],
Automatic Fuzzy Clustering Using Modified Differential Evolution for Image Classification,
GeoRS(48), No. 9, September 2010, pp. 3503-3510.
IEEE DOI 1008
BibRef

Saha, I.[Indrajit], Maulik, U.[Ujjwal], Bandyopadhyay, S.[Sanghamitra],
An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation,
EvoIASP09(426-431).
Springer DOI 0904
BibRef

Pedrycz, W.[Witold], Bargiela, A.[Andrzej],
Fuzzy clustering with semantically distinct families of variables: Descriptive and predictive aspects,
PRL(31), No. 13, 1 October 2010, pp. 1952-1958.
Elsevier DOI 1003
Fuzzy clustering; Descriptive features; Functional features; Fuzzy C-means (FCM); Reconstruction criterion; Granulation-degranulation BibRef

Cheng, M.[Miao], Fang, B.[Bin], Wen, J.[Jing], Tang, Y.Y.[Yuan Yan],
Marginal discriminant projections: An adaptable margin discriminant approach to feature reduction and extraction,
PRL(31), No. 13, 1 October 2010, pp. 1965-1974.
Elsevier DOI 1003
Feature extraction; Dimensionality reduction; Maladjusted learning problem; Hierarchical fuzzy clustering; Curse of dimensionality BibRef

Tsai, D.M.[Du-Ming], Lin, C.C.[Chung-Chan],
Fuzzy C-means based clustering for linearly and nonlinearly separable data,
PR(44), No. 8, August 2011, pp. 1750-1760.
Elsevier DOI 1104
Clustering; Fuzzy C-means; Kernel fuzzy C-means; Distance metric BibRef

Ju, Z.J.[Zhao-Jie], Liu, H.H.[Hong-Hai],
Fuzzy Gaussian Mixture Models,
PR(45), No. 3, March 2012, pp. 1146-1158.
Elsevier DOI 1111
Fuzzy C-means; Gaussian Mixture Models; Fuzzy Gaussian Mixture Models; EM algorithm BibRef

Liu, Z.G.[Zhun-Ga], Dezert, J.[Jean], Mercier, G.[Grégoire], Pan, Q.[Quan],
Belief C-Means: An extension of Fuzzy C-Means algorithm in belief functions framework,
PRL(33), No. 3, 1 February 2012, pp. 291-300.
Elsevier DOI 1201
Unsupervised clustering; Data clustering; BCM; ECM; FCM; Belief functions BibRef

Graves, D.[Daniel], Noppen, J.[Joost], Pedrycz, W.[Witold],
Clustering with proximity knowledge and relational knowledge,
PR(45), No. 7, July 2012, pp. 2633-2644.
Elsevier DOI 1203
Relational clustering; Fuzzy clustering; Proximity; Knowledge representation; Software requirements BibRef

Mok, P.Y., Huang, H.Q., Kwok, Y.L., Au, J.S.,
A robust adaptive clustering analysis method for automatic identification of clusters,
PR(45), No. 8, August 2012, pp. 3017-3033.
Elsevier DOI 1204
Cluster analysis; Cluster validity; Fuzzy clustering; Fuzzy C-Means; Cluster ensembles BibRef

He, Y.[Yanyan], Hussaini, M.Y.[M. Yousuff], Ma, J.W.[Jian-Wei], Shafei, B.[Behrang], Steidl, G.[Gabriele],
A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data,
PR(45), No. 9, September 2012, pp. 3463-3471.
Elsevier DOI 1206
Fuzzy c-means; Multi-class labeling; Sparsity-promoting method; Alternating direction method of multipliers; MRI segmentation; Noisy and incomplete data BibRef

Dagher, I.[Issam],
Complex fuzzy c-means algorithm,
AIR(38), No. 1, June 2012, pp. 25-39.
WWW Link. 1208
BibRef

Mei, J.P.[Jian-Ping], Chen, L.H.[Li-Hui],
LinkFCM: Relation integrated fuzzy c-means,
PR(46), No. 1, January 2013, pp. 272-283.
Elsevier DOI 1209
Clustering; Fuzzy c-means; Pairwise relation; Semi-supervised; Document categorization BibRef

Huang, M.[Ming], Xia, Z.[Zhixun], Wang, H.B.[Hong-Bo], Zeng, Q.H.[Qing-Hua], Wang, Q.[Qian],
The range of the value for the fuzzifier of the fuzzy c-means algorithm,
PRL(33), No. 16, 1 December 2012, pp. 2280-2284.
Elsevier DOI 1210
Fuzzy c-means algorithm; Fuzzifier; The range of the value; The behavior of membership function BibRef

Dagher, I.[Issam], Issa, S.[Saad],
Subband effect of the wavelet fuzzy C-means features in texture classification,
IVC(30), No. 11, November 2012, pp. 896-905.
Elsevier DOI 1211
Texture classification; Wavelet transform; FCM; Subbands; K-nearest neighbors BibRef

Kashan, A.H.[Ali Husseinzadeh], Rezaee, B.[Babak], Karimiyan, S.[Somayyeh],
An efficient approach for unsupervised fuzzy clustering based on grouping evolution strategies,
PR(46), No. 5, May 2013, pp. 1240-1254.
Elsevier DOI 1302
Clustering; Fuzzy; Grouping evolution strategy; Fuzzy c-means algorithm BibRef

Gong, M., Liang, Y., Shi, J., Ma, W., Ma, J.,
Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation,
IP(22), No. 2, February 2013, pp. 573-584.
IEEE DOI 1302
BibRef

Mújica-Vargas, D.[Dante], Gallegos-Funes, F.J.[Francisco J.], Rosales-Silva, A.J.[Alberto J.],
A fuzzy clustering algorithm with spatial robust estimation constraint for noisy color image segmentation,
PRL(34), No. 4, 1 March 2013, pp. 400-413.
Elsevier DOI 1302
Fuzzy C-Means; RM-L-estimator; L-estimator; Color images; SegmentationNoise BibRef

Mújica-Vargas, D.[Dante], Gallegos-Funes, F.J.[Francisco J.], Rosales-Silva, A.J.[Alberto J.], de Jesús Rubio, J.[José],
Robust c-prototypes algorithms for color image segmentation,
JIVP(2013), No. 1, 2013, pp. 63.
DOI Link 1312
BibRef

Celik, T., Lee, H.K.,
Comments on 'A Robust Fuzzy Local Information C-Means Clustering Algorithm',
IP(22), No. 3, March 2013, pp. 1258-1261.
IEEE DOI 1301
See also Robust Fuzzy Local Information C-Means Clustering Algorithm, A. BibRef

Xu, C.[Chao], Zhang, P.L.[Pei-Lin], Li, B.[Bing], Wu, D.H.[Ding-Hai], Fan, H.B.[Hong-Bo],
Vague C-means clustering algorithm,
PRL(34), No. 5, 1 April 2013, pp. 505-510.
Elsevier DOI 1303
Fuzzy clustering; Vague set (VS); Quantum-behaved particle swarm optimization (QPSO) BibRef

Lai, J.Z.C.[Jim Z.C.], Juan, E.Y.T.[Eric Y.T.], Lai, F.J.C.[Franklin J.C.],
Rough clustering using generalized fuzzy clustering algorithm,
PR(46), No. 9, September 2013, pp. 2538-2547.
Elsevier DOI 1305
Rough k-means clustering; Nearest-neighbor search; Knowledge discovery; Soft computing BibRef

Verbiest, N.[Nele], Cornelis, C.[Chris], Herrera, F.[Francisco],
FRPS: A Fuzzy Rough Prototype Selection method,
PR(46), No. 10, October 2013, pp. 2770-2782.
Elsevier DOI 1306
Classification; Fuzzy rough sets; Instance selection; k NN; Prototype Selection BibRef

Meher, S.K.[Saroj K.],
Explicit rough-fuzzy pattern classification model,
PRL(36), No. 1, 2014, pp. 54-61.
Elsevier DOI 1312
Pattern recognition BibRef

Lin, P.L.[Phen-Lan], Huang, P.W.[Po-Whei], Kuo, C.H., Lai, Y.H.,
A size-insensitive integrity-based fuzzy c-means method for data clustering,
PR(47), No. 5, 2014, pp. 2042-2056.
Elsevier DOI 1402
Fuzzy c-means BibRef

Zhao, Z.X.[Zai-Xin], Cheng, L.Z.[Li-Zhi], Cheng, G.Q.[Guang-Quan],
Neighbourhood weighted fuzzy c-means clustering algorithm for image segmentation,
IET-IPR(8), No. 3, March 2014, pp. 150-161.
DOI Link 1404
fuzzy set theory BibRef

ben N'Cir, C.E.[Chiheb-Eddine], Cleuziou, G.[Guillaume], Essoussi, N.[Nadia],
Generalization of c-means for identifying non-disjoint clusters with overlap regulation,
PRL(45), No. 1, 2014, pp. 92-98.
Elsevier DOI 1407
Overlapping clustering BibRef

Liu, J.[Jin], Pham, T.D.[Tuan D.],
A spatially constrained fuzzy hyper-prototype clustering algorithm,
PR(45), No. 4, 2012, pp. 1759-1771.
Elsevier DOI 1410
Fuzzy c-means BibRef

Khalilia, M.A.[Mohammed A.], Bezdek, J.[James], Popescu, M.[Mihail], Keller, J.M.[James M.],
Improvements to the relational fuzzy c-means clustering algorithm,
PR(47), No. 12, 2014, pp. 3920-3930.
Elsevier DOI 1410
Fuzzy clustering BibRef

Jiang, Y., Chung, F., Wang, S., Deng, Z., Wang, J., Qian, P.,
Collaborative Fuzzy Clustering From Multiple Weighted Views,
Cyber(45), No. 4, April 2015, pp. 688-701.
IEEE DOI 1503
Algorithm design and analysis BibRef

Suleman, A.[Abdul],
A new perspective of modified partition coefficient,
PRL(56), No. 1, 2015, pp. 1-6.
Elsevier DOI 1503
Fuzzy clustering BibRef

Guo, Y.H.[Yan-Hui], Sengur, A.[Abdulkadir],
NCM: Neutrosophic c-means clustering algorithm,
PR(48), No. 8, 2015, pp. 2710-2724.
Elsevier DOI 1505
Data clustering BibRef

Chen, K.[Kun], Li, Y.[Yuehua], Xu, X.J.[Xing-Jian],
Radar HRRP Target Recognition Based on the Improved Kernel Distance Fuzzy C-Means Clustering Method,
IEICE(E98-D), No. 9, September 2015, pp. 1683-1690.
WWW Link. 1509
BibRef

Guo, F.F., Wang, X.X., Shen, J.,
Adaptive fuzzy c-means algorithm based on local noise detecting for image segmentation,
IET-IPR(10), No. 4, 2016, pp. 272-279.
DOI Link 1604
adaptive signal processing BibRef

D'Urso, P.[Pierpaolo], Leski, J.M.[Jacek M.],
Fuzzy c-ordered medoids clustering for interval-valued data,
PR(58), No. 1, 2016, pp. 49-67.
Elsevier DOI 1606
Interval-valued data BibRef

Saha, A.[Arkajyoti], Das, S.[Swagatam],
Geometric divergence based fuzzy clustering with strong resilience to noise features,
PRL(79), No. 1, 2016, pp. 60-67.
Elsevier DOI 1608
Fuzzy Clustering BibRef

Hofmann, P.[Peter],
Defuzzification Strategies for Fuzzy Classifications of Remote Sensing Data,
RS(8), No. 6, 2016, pp. 467.
DOI Link 1608
BibRef

Zhou, K.[Kuang], Martin, A.[Arnaud], Pan, Q.[Quan], Liu, Z.G.[Zhun-Ga],
ECMdd: Evidential c-medoids clustering with multiple prototypes,
PR(60), No. 1, 2016, pp. 239-257.
Elsevier DOI 1705
Credal partitions BibRef

Memon, K.H.[Kashif Hussain], Lee, D.H.[Dong-Ho],
Generalised fuzzy c-means clustering algorithm with local information,
IET-IPR(11), No. 1, January 2017, pp. 1-12.
DOI Link 1703
BibRef

Jiang, Z.H.[Zhao-Hui], Li, T.T.[Ting-Ting], Min, W.F.[Wen-Fang], Qi, Z.[Zhao], Rao, Y.[Yuan],
Fuzzy c-means clustering based on weights and gene expression programming,
PRL(90), No. 1, 2017, pp. 1-7.
Elsevier DOI 1704
Data clustering BibRef

Yang, M.S.[Miin-Shen], Nataliani, Y.[Yessica],
Robust-learning fuzzy c-means clustering algorithm with unknown number of clusters,
PR(71), No. 1, 2017, pp. 45-59.
Elsevier DOI 1707
Fuzzy, clustering BibRef


Lazo-Cortés, M.S.[Manuel S.], Martínez-Trinidad, J.F.[José Francisco], Carrasco-Ochoa, J.A.[Jesús Ariel],
A Glance to the Goldman's Testors from the Point of View of Rough Set Theory,
MCPR16(189-197).
Springer DOI 1608
BibRef

Dyrmann, M.[Mads],
Fuzzy c-means based plant segmentation with distance dependent threshold,
CVPPP15(xx-yy).
DOI Link 1601
BibRef

Ben Said, A., Hadjidj, R., Foufou, S.,
Gravitational weighted fuzzy c-means with application on multispectral image segmentation,
IPTA14(1-5)
IEEE DOI 1503
fuzzy set theory BibRef

Ben, S.[Shenglan], Jin, Z.[Zhong], Yang, J.Y.[Jing-Yu],
Automatic fuzzy clustering based on mistake analysis,
ICPR12(2914-2917).
WWW Link. 1302
BibRef

Gupta, A.[Ashish], Bowden, R.[Richard],
Fuzzy encoding for image classification using Gustafson-Kessel algorithm,
ICIP12(3137-3140).
IEEE DOI 1302
BibRef

Grandchamp, E.[Enguerran], Régis, S.[Sébastien], Rousteau, A.[Alain],
Vector Transition Classes Generation from Fuzzy Overlapping Classes,
CIARP12(204-211).
Springer DOI 1209
BibRef

Dwivedi, R., Kumar, A., Ghosh, S.K., Roy, P.S.,
Optimisation of Fuzzy Based Soft Classifiers for Remote Sensing Data,
ISPRS12(XXXIX-B3:385-390).
DOI Link 1209
BibRef

Park, D.C.[Dong-Chul],
Satellite Image Classification Using a Divergence-Based Fuzzy c-Means Algorithm,
ICISP12(555-561).
Springer DOI 1208
See also Classification of Audio Signals Using Fuzzy C-Means with Divergence-Based Kernel. BibRef

Kaur, P.[Prabhjot], Soni, A.K., Gosain, A.[Anjana],
Robust Intuitionistic Fuzzy C-means clustering for linearly and nonlinearly separable data,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Rojas, D.[Dario], Zambrano, C.[Carolina], Varas, M.[Marcela], Urrutia, A.[Angelica],
A Multi-level Thresholding-Based Method to Learn Fuzzy Membership Functions from Data Warehouse,
CIARP11(664-674).
Springer DOI 1111
BibRef

Ayech, M.W.[Mohamed Walid], El Kalti, K.[Karim], El Ayeb, B.[Bechir],
Image Segmentation Based on Adaptive Fuzzy-C-Means Clustering,
ICPR10(2306-2309).
IEEE DOI 1008
BibRef

Almaksour, A.[Abdullah], Anquetil, E.[Eric], Quiniou, S.[Solen], Cheriet, M.[Mohamed],
Evolving Fuzzy Classifiers: Application to Incremental Learning of Handwritten Gesture Recognition Systems,
ICPR10(4056-4059).
IEEE DOI 1008
BibRef

Dehzangi, O.[Omid], Ma, B.[Bin], Chng, E.S.[Eng Siong], Li, H.Z.[Hai-Zhou],
Framewise Phone Classification Using Weighted Fuzzy Classification Rules,
ICPR10(4186-4189).
IEEE DOI 1008
BibRef

Manikonda, L., Mangalampalli, A., Pudi, V.,
UACI: Uncertain associative classifier for object class identification in images,
IVCNZ10(1-8).
IEEE DOI 1203
BibRef

Mangalampalli, A.[Ashish], Chaoji, V.[Vineet], Sanyal, S.[Subhajit],
I-FAC: Efficient Fuzzy Associative Classifier for Object Classes in Images,
ICPR10(4388-4391).
IEEE DOI 1008
BibRef

Saad, M.F.[Mohamed Fadhel], Alimi, A.M.[Adel M.],
Improved Modified Suppressed Fuzzy C-Means,
IPTA10(313-318).
IEEE DOI 1007
BibRef

Peng, D.Q.[Dai-Qiang], Ling, Y.[Yun], Wang, Y.[Yang],
Improving fuzzy c-means clustering based on local membership variation,
IASP10(346-350).
IEEE DOI 1004
BibRef

Janiš, V.[Vladimír], Rencova, M.[Magdalena], Šešelja, B.[Branimir], Tepavcevic, A.[Andreja],
Construction of Fuzzy Relation by Closure Systems,
PReMI09(116-121).
Springer DOI 0912
BibRef

Fabijanska, A.[Anna],
A Fuzzy Segmentation Method for Images of Heat-Emitting Objects,
CIARP09(217-224).
Springer DOI 0911
BibRef

Jiang, M.[Ming], Wang, Z.L.[Zhe-Long],
A Method for Stress Detection Based on FCM Algorithm,
CISP09(1-5).
IEEE DOI 0910
FCM: fuzzy c-means BibRef

Guliato, D.[Denise], de Sousa Santos, J.C.[Jean Carlo],
Granular Computing and Rough Sets to Generate Fuzzy Rules,
ICIAR09(317-326).
Springer DOI 0907
BibRef

Ahmed, E.[Eman], El Gayar, N.[Neamat], Atiya, A.F.[Amir F.], El Azab, I.A.[Iman A.],
Fuzzy Gaussian Process Classification Model,
ICIAR09(369-376).
Springer DOI 0907
BibRef

Yu, Z.D.[Zhi-Ding], Zou, R.B.[Ruo-Bing], Yu, S.[Simin],
A modified fuzzy c-means algorithm with adaptive spatial information for color image segmentation,
CIIP09(48-52).
IEEE DOI 0903
BibRef

Hanmandlu, M.[Madasu], Susan, S.[Seba], Madasu, V.K.[Vamsi Krishna], Lovell, B.C.,
Fuzzy Co-Clustering of medical images using bacterial foraging,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Zhang, M.[Mingrui], Therneau, T.[Terry], McKenzie, M.A.[Michael A.], Li, P.[Peter], Yang, P.[Ping],
A fuzzy c-means algorithm using a correlation metrics and gene ontology,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Szilágyi, L.[László], Iclanzan, D.[David], Szilágyi, S.M.[Sándor M.], Dumitrescu, D.[Dan],
GeCiM: A Novel Generalized Approach to C-Means Clustering,
CIARP08(235-242).
Springer DOI 0809
See also Echocardiographic Image Sequence Compression Based on Spatial Active Appearance Model. See also Thorough Analysis of the Suppressed Fuzzy C-Means Algorithm, A. BibRef

Iakovidis, D.K.[Dimitris K.], Pelekis, N.[Nikos], Kotsifakos, E.[Evangelos], Kopanakis, I.[Ioannis],
Intuitionistic Fuzzy Clustering with Applications in Computer Vision,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Kannappady, S.[Srinidhi], Mudur, S.P.[Sudhir P.], Shiri, N.[Nematollaah],
Clickstream Visualization Based on Usage Patterns,
ICCVGIP06(339-351).
Springer DOI 0612
Fuzzy clustering, view as point cloud. BibRef

Wu, X.H.[Xiao-Hong], Zhou, J.J.[Jian-Jiang],
An Improved Possibilistic C-Means Algorithm Based on Kernel Methods,
SSPR06(783-791).
Springer DOI 0608
BibRef

Bao, Z.Q.[Zhi-Qiang], Han, B.[Bing], Wu, S.J.[Shun-Jun],
A General Weighted Fuzzy Clustering Algorithm,
ICIAR06(II: 102-109).
Springer DOI 0610
BibRef

Bhattacharya, P.[Prabir], Rahman, M.[Mahmudur], Desai, B.C.[Bipin C.],
Image Representation and Retrieval Using Support Vector Machine and Fuzzy C-means Clustering Based Semantical Spaces,
ICPR06(I: 929-935).
IEEE DOI 0609
BibRef
And: ICPR06(II: 1162-1168).
IEEE DOI 0609
BibRef

Petrosino, A., Verde, M.,
P-AFLC: a parallel scalable fuzzy clustering algorithm,
ICPR04(I: 809-812).
IEEE DOI 0409
BibRef

Manley-Cooke, P., Razaz, M.,
A modified fuzzy inference system for pattern classification,
ICPR04(I: 256-259).
IEEE DOI 0409
BibRef

Muhammed, H.H.,
Unsupervised fuzzy clustering and image segmentation using weighted neural networks,
CIAP03(308-313).
IEEE DOI 0310
BibRef

Abe, S.,
Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions,
ICPR00(Vol II: 211-214).
IEEE DOI 0009
BibRef

Lorette, A.[Anne], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.],
Fully Unsupervised Fuzzy Clustering with Entropy Criterion,
ICPR00(Vol III: 986-989).
IEEE DOI BibRef 0001 ICPR00(Vol III: 998-1001).
IEEE DOI 0009
BibRef

Gao, Q.G.[Qi-Gang], Qing, D.[Dan], Lu, S.W.[Si-Wei],
Fuzzy Classification of Generic Edge Features,
ICPR00(Vol III: 668-671).
IEEE DOI 0009
BibRef

Han, J.H.[Joon H.], Kim, Y.K.[Yoon K.],
A Fuzzy K-NN Algorithm using Weights from the Variance of Membership Values,
CVPR99(II: 394-399).
IEEE DOI BibRef 9900

Doroodchi, M.[Mahmood], Reza, A.M.,
Fuzzy Cluster Filter,
ICIP96(II: 939-942).
IEEE DOI BibRef 9600

Jozwik, A., Chmielewski, L., Cudny, W., Sklodowski, M.,
A 1-NN Preclassifier for Fuzzy K-NN Rule,
ICPR96(IV: 234-238).
IEEE DOI 9608
(Polish Academy of Sciences, PL) BibRef

Qing, Y.X.[Ye Xiu], Hua, H.Z.[Huang Zhen], Qiang, X.[Xiao],
Histogram based fuzzy C-mean algorithm for image segmentation,
ICPR92(III:704-707).
IEEE DOI 9208
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Fuzzy Clustering, Cluster Validity Tests .


Last update:Sep 18, 2017 at 11:34:11