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

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

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Nerf c-means: Non-Euclidean relational fuzzy clustering,
PR(27), No. 3, March 1994, pp. 429-437.
WWW Link. 0401

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

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

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Fuzzy Kohonen clustering networks,
PR(27), No. 5, May 1994, pp. 757-764.
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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

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

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

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).

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

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

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

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

Bandemer, H.,
Specifying Fuzzy Data from Grey-Tone Pictures for Pattern-Recognition,
PRL(17), No. 6, May 15 1996, pp. 585-592. 9607
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

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

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

Gallo, I.[Ignazio], Binaghi, E.[Elisabetta],
Information Extraction and Classification from Free Text Using a Neural Approach,
Springer DOI 0711

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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
A New Self-organizing Map Based on Smoothly Distributed Fuzzy C-means,
ICPR00(Vol II: Not in proceedings). 0009

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

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

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.,
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FuzzyOpt(4), No. 2, April 2005, pp. 87-102.
Springer DOI BibRef 0504
Mountain clustering on nonuniform grids,

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

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

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

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],
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Shen, Q.A.[Qi-Ang], Chouchoulas, A.[Alexios],
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PR(35), No. 11, November 2002, pp. 2425-2438.
WWW Link. 0208

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

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,

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

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.
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Aidarkhanov, M.B., La, L.L.,
On stability of group fuzzy classification algorithms,
PRL(24), No. 12, August 2003, pp. 1921-1924.
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Abonyi, J.[Janos], Szeifert, F.[Ferenc],
Supervised fuzzy clustering for the identification of fuzzy classifiers,
PRL(24), No. 14, October 2003, pp. 2195-2207.
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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

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

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

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.
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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.
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Cinque, L., Foresti, G.L., Lombardi, L.,
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Cinque, L., Foresti, G.L., Gumina, A., Levialdi, S.,
A modified fuzzy ART for image segmentation,
WWW Link. 0210

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
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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

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
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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

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

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.
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

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

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

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.
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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

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PRL(28), No. 15, 1 November 2007, pp. 2071-2079.
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Clustering; Cluster validity; Relational data; Non-Euclidean fuzzy c-means; Visual cluster validity BibRef

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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],
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PR(41), No. 5, May 2008, pp. 1841-1850.
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Simulated annealing; Data mining; Pattern classification; Fuzzy systems; Fuzzy rule extraction BibRef

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PR(41), No. 5, May 2008, pp. 1851-1861.
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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

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Nonnegative Embeddings and Projections for Dimensionality Reduction and Information Visualization,

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A consensus-driven fuzzy clustering,
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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

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Elsevier DOI 1002
Shadowed sets; c-Means algorithm; Three-valued logic; Cluster validity index; Fuzzy sets; Rough sets BibRef

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Fuzzy C-means And Mixture Distribution Models In The Presence Of Noise Clusters,
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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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Robust fuzzy clustering using mixtures of Student's-t distributions,
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Fuzzy clustering; Fuzzy c-means; Finite mixture models; Student's-t distributions BibRef

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Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model,
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Elsevier DOI 1011
Hidden Markov models; Student's-t distribution; Variational Bayes; Speaker identification; Robotic task failure; Violence detection BibRef

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Visual Workflow Recognition Using a Variational Bayesian Treatment of Multistream Fused Hidden Markov Models,
CirSysVideo(22), No. 7, July 2012, pp. 1076-1086.

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

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

Chatzis, S.P.[Sotirios P.], Tsechpenakis, G.[Gavriil],
The infinite Hidden Markov random field model,

Chatzis, S.P.[Sotirios P.], Demiris, Y.[Yiannis],
A reservoir-driven non-stationary hidden Markov model,
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Hidden Markov model; Dirichlet process; Reservoir BibRef

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A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies,
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Chatzis, S.P.[Sotirios P.], Demiris, Y.[Yiannis],
The Infinite-Order Conditional Random Field Model for Sequential Data Modeling,
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Elsevier DOI 0907
Clustering; Attribute weights; Center initialization; Fuzzy C-means; Image segmentation BibRef

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Elsevier DOI 0909
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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Improving Shape Retrieval by Spectral Matching and Meta Similarity,
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Krinidis, S., Chatzis, V.,
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Maulik, U.[Ujjwal], Saha, I.[Indrajit],
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An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation,
Springer DOI 0904

Pedrycz, W.[Witold], Bargiela, A.[Andrzej],
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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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Elsevier DOI 1206
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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Complex fuzzy c-means algorithm,
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Mei, J.P.[Jian-Ping], Chen, L.H.[Li-Hui],
LinkFCM: Relation integrated fuzzy c-means,
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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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Clustering; Fuzzy; Grouping evolution strategy; Fuzzy c-means algorithm BibRef

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

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Celik, T., Lee, H.K.,
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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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Pattern recognition BibRef

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Fuzzy c-means BibRef

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Overlapping clustering BibRef

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Fuzzy c-means BibRef

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An Improved Possibilistic C-Means Algorithm Based on Kernel Methods,
Springer DOI 0608

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

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).
And: ICPR06(II: 1162-1168).

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

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

Muhammed, H.H.,
Unsupervised fuzzy clustering and image segmentation using weighted neural networks,

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

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).

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

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).
(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,

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