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

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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 0309
BibRef

Selim, S.Z.[Shokri Z.],
Comments on: optimality test for fixed points,
PR(23), No. 11, 1990, pp. 1307-1308.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 0304
BibRef

Aidarkhanov, M.B., La, L.L.,
On stability of group fuzzy classification algorithms,
PRL(24), No. 12, August 2003, pp. 1921-1924.
Elsevier DOI 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.
Elsevier DOI 0307
BibRef

Liu, H.[Hong], Huang, S.T.[Shang-Teng],
Evolutionary semi-supervised fuzzy clustering,
PRL(24), No. 16, December 2003, pp. 3105-3113.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 0407
BibRef

Cinque, L., Foresti, G.L., Gumina, A., Levialdi, S.,
A modified fuzzy ART for image segmentation,
CIAP01(102-107).
IEEE DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 0512
BibRef

di Gesù, V.[Vito], lo Bosco, G.[Giosuè],
A genetic integrated fuzzy classifier,
PRL(26), No. 4, March 2005, pp. 411-420.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 0709
Fuzzy classifier; Genetic algorithms; Optimization of fuzzy parameters; Fuzzy rule extraction; Pattern classification BibRef

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Cascade classifier; Multitemporal classification; Fuzzy classifier; Fuzzy Markov chain BibRef

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Clustering; Cluster validity; Relational data; Non-Euclidean fuzzy c-means; Visual cluster validity BibRef

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Fuzzy c-means clustering (FCM); Fuzzy relations; Fuzzy relational classifier; Kernelized FCM (KFCM); Soft class label; Pattern classification BibRef

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Clustering; Unsupervised learning; Dempster-Shafer theory; Evidence theory; Belief functions; Cluster validity; Robustness BibRef

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Clustering; Proximity data; Unsupervised learning; Dempster-Shafer theory; Belief functions BibRef

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Simulated annealing; Data mining; Pattern classification; Fuzzy systems; Fuzzy rule extraction BibRef

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Semi-supervised clustering; Image database categorization; Pairwise constraints; Active learning BibRef

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Fuzzy clustering; Manifold learning; Prototyping; Spectral-graph theory; Visual data mining BibRef

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Fuzzy clustering with consensus; Proximity matrix; Knowledge-based clustering; Local and global quality assessment of information granules
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Shadowed sets; c-Means algorithm; Three-valued logic; Cluster validity index; Fuzzy sets; Rough sets BibRef

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Fuzzy clustering; Fuzzy c-means (FCM); Gaussian kernel-based FCM; Spatial bias correction; Image segmentation; MRI data BibRef

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Fuzzy clustering; Fuzzy c-means; Finite mixture models; Student's-t distributions BibRef

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Clustering; Attribute weights; Center initialization; Fuzzy C-means; Image segmentation BibRef

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Switching regressions; Fuzzy clustering; Fuzzy c-regressions; Mountain clustering; Mountain c-regressions BibRef

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Fuzzy c-means; Cluster validity; Number of clusters; Cluster stability BibRef

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Fuzzy clusters; Optimal prediction; k-Means; Fuzzy c-means; Steepest descent; Conjugate gradient; Projection BibRef

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Choquet integral; Signed fuzzy measure; Classification; Optimization; Genetic algorithm BibRef

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Ant system; Clustering; Fuzzy C-means; Image segmentation BibRef

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Fuzzy clustering; (Dis)similarity-based; k-Medoids; Prototype weight BibRef

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IEICE(E93-D), No. 8, August 2010, pp. 2319-2323.
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Fuzzy clustering; Descriptive features; Functional features; Fuzzy C-means (FCM); Reconstruction criterion; Granulation-degranulation BibRef

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Feature extraction; Dimensionality reduction; Maladjusted learning problem; Hierarchical fuzzy clustering; Curse of dimensionality BibRef

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Clustering; Fuzzy C-means; Kernel fuzzy C-means; Distance metric BibRef

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Fuzzy C-means; Gaussian Mixture Models; Fuzzy Gaussian Mixture Models; EM algorithm BibRef

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Unsupervised clustering; Data clustering; BCM; ECM; FCM; Belief functions BibRef

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Relational clustering; Fuzzy clustering; Proximity; Knowledge representation; Software requirements BibRef

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Cluster analysis; Cluster validity; Fuzzy clustering; Fuzzy C-Means; Cluster ensembles BibRef

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Fuzzy c-means; Multi-class labeling; Sparsity-promoting method; Alternating direction method of multipliers; MRI segmentation; Noisy and incomplete data BibRef

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AIR(38), No. 1, June 2012, pp. 25-39.
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Clustering; Fuzzy c-means; Pairwise relation; Semi-supervised; Document categorization BibRef

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Fuzzy c-means algorithm; Fuzzifier; The range of the value; The behavior of membership function BibRef

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Texture classification; Wavelet transform; FCM; Subbands; K-nearest neighbors BibRef

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Fuzzy C-Means; RM-L-estimator; L-estimator; Color images; SegmentationNoise BibRef

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Fuzzy clustering; Vague set (VS); Quantum-behaved particle swarm optimization (QPSO) BibRef

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Rough k-means clustering; Nearest-neighbor search; Knowledge discovery; Soft computing BibRef

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Fuzzy c-means BibRef

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fuzzy set theory BibRef

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Interval-valued data BibRef

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Fuzzy, clustering BibRef

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fuzzy set theory, geophysical image processing, geophysical techniques, image classification, ADFLICM approach, ADFLICM images, conventional fuzzy c-means algorithm, local spatial level information, remotely sensed imagery, spatial information BibRef

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Fuzzy C-Means (FCM), Collaborative fuzzy clustering, Interval-valued fuzzy clustering, Interval type-2 fuzzy sets, Clustering validity index BibRef

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Image segmentation, Noise clustering, Fuzzy clustering, Nutrosophic clustering BibRef

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Multiple instance regression, Fuzzy clustering, Possibilistic clustering, Multiple model regression BibRef

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Intuitionistic fuzzy set, Fuzzy c-means, Intuitionistic fuzzy c-means, Clustering BibRef

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IEEE DOI 2106
Clustering algorithms, Robustness, Noise measurement, Scalp, Heuristic algorithms, Visualization, Iterative methods, superpixel segmentation BibRef

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Clustering, Fuzzy c-means (FCM), Multi-view FCM (MVFCM), Collaborative learning, Feature weights, Feature reduction BibRef

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Madhu, A.[Anjali], Kumar, A.[Anil], Jia, P.[Peng],
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RS(13), No. 20, 2021, pp. xx-yy.
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Pattern recognition, Hierarchical structure, Fuzzy system, Cycle mechanism BibRef

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Vector Fuzzy c-Spherical Shells (VFCSS) over Non-Crisp Numbers for Satellite Imaging,
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Chen, Y.X.[Yu-Xue], Zhou, S.S.[Shui-Sheng], Zhang, X.M.[Xi-Min], Li, D.[Dong], Fu, C.[Cui],
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Fuzzy c-means, Fuzziness parameter, Careful tuning, Deterministic annealing BibRef

Ji, X.R.[Xin-Ran], Huang, L.[Liang], Tang, B.H.[Bo-Hui], Chen, G.[Guokun], Cheng, F.F.[Fei-Fei],
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Zhang, Z.[Zhou], Wang, D.[Degang], Sun, X.[Xu], Zhuang, L.[Lina], Liu, R.[Rong], Ni, L.[Li],
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Liu, H.[Han], Wu, C.[Chengmao], Li, C.X.[Chang-Xing], Zuo, Y.[Yanqun],
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Clustering, Possibilistic c-means (PCM), Feature weights, Sparsity, Lasso, Spare PCM (S-PCM) BibRef

Wu, J.X.[Jia-Xin], Wang, X.P.[Xiao-Peng], Wei, T.[Tongyi], Fang, C.[Chao],
Full-parameter adaptive fuzzy clustering for noise image segmentation based on non-local and local spatial information,
CVIU(235), 2023, pp. 103765.
Elsevier DOI 2310
Fuzzy C-Means clustering, Local and non-local spatial information, Noise image segmentation BibRef

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Elsevier DOI 2312
Unsupervised clustering, Fuzzy K-means, Projection subspace, Discriminative fuzzy clustering, Adaptive neighbors BibRef

Zhang, C.Y.[Chu-Yun], Xie, W.X.[Wei-Xin], Li, Y.[Yanshan], Liu, Z.X.[Zong-Xiang],
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Fast Projected Fuzzy Clustering With Anchor Guidance for Multimodal Remote Sensing Imagery,
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Drift anticipation with forgetting to improve evolving fuzzy system,
ICPR21(5836-5843)
IEEE DOI 2105
Learning systems, Upper bound, Sensitivity, Windup, Data models, Stability analysis, Robustness, Evolving Fuzzy System EFS, Anticipation BibRef

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A new weighted fuzzy c-means based on the collective behaviour of starling birds,
ISCV20(1-8)
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fuzzy set theory, pattern clustering, elementary movements, starling bird, clustering validation indices, Clustering validation BibRef

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Fine-grained Collaborative K-Means Clustering,
IVCNZ18(1-6)
IEEE DOI 1902
Collaboration, Clustering algorithms, Birds, Task analysis, Clustering methods, Feature extraction, Benchmark testing, Fine-grained Recognition BibRef

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Possibilistic fuzzy C-means clustering under observer-biased framework,
ISCV18(1-6)
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fuzzy set theory, learning (artificial intelligence), pattern clustering, Possibilistic Fuzzy, observer-biased clustering BibRef

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IPTA14(1-5)
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Fuzzy encoding for image classification using Gustafson-Kessel algorithm,
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Dwivedi, R., Kumar, A., Ghosh, S.K., Roy, P.S.,
Optimisation of Fuzzy Based Soft Classifiers for Remote Sensing Data,
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See also Classification of Audio Signals Using Fuzzy C-Means with Divergence-Based Kernel. BibRef

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Dehzangi, O.[Omid], Ma, B.[Bin], Chng, E.S.[Eng Siong], Li, H.Z.[Hai-Zhou],
Framewise Phone Classification Using Weighted Fuzzy Classification Rules,
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Manikonda, L., Mangalampalli, A., Pudi, V.,
UACI: Uncertain associative classifier for object class identification in images,
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Mangalampalli, A.[Ashish], Chaoji, V.[Vineet], Sanyal, S.[Subhajit],
I-FAC: Efficient Fuzzy Associative Classifier for Object Classes in Images,
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Saad, M.F.[Mohamed Fadhel], Alimi, A.M.[Adel M.],
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Fabijanska, A.[Anna],
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Bhattacharya, P.[Prabir], Rahman, M.[Mahmudur], Desai, B.C.[Bipin C.],
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And: ICPR06(II: 1162-1168).
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Petrosino, A., Verde, M.,
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Manley-Cooke, P., Razaz, M.,
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Abe, S.,
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Lorette, A.[Anne], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.],
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IEEE DOI 0009
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Gao, Q.G.[Qi-Gang], Qing, D.[Dan], Lu, S.W.[Si-Wei],
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Doroodchi, M.[Mahmood], Reza, A.M.,
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Jozwik, A., Chmielewski, L., Cudny, W., Sklodowski, M.,
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Qing, Y.X.[Ye Xiu], Hua, H.Z.[Huang Zhen], Qiang, X.[Xiao],
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Fuzzy Clustering, Cluster Validity Tests .