14.2.15 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.

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Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm,
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Elsevier DOI 0201
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Cannon, R.L., Dave, J.V., and Bezdek, J.C.,
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Segmentation of a Thematic Mapper Image Using the Fuzzy C-Means Clustering Algorithms,
GeoRS(24), No. 3, May 1986, pp. 400-408.
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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.,
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Selim, S.Z.[Shokri Z.],
Comments on: optimality test for fixed points,
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See also Optimality tests for fixed points of the fuzzy c-means algorithm. BibRef

Kamel, M.S.[Mohamed S.], Selim, S.Z.[Shokri Z.],
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Kamel, M.S.[Mohamed S.], Selim, S.Z.[Shokri Z.],
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See also Tabu search approach to the clustering problem, A. BibRef

Kent, J.T., and Mardia, K.V.,
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Lopez de Mantaras, R., and Valverde, L.,
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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,
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Babu, G.P.[G. Phanendra], Murty, M.N.[M. Narasimha],
Clustering with evolution strategies,
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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.
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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
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Lenart, C.[Cristian],
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Marsililibelli, S., Muller, A.,
Adaptive Fuzzy Pattern-Recognition in the Anaerobic-Digestion Process,
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Bandemer, H.,
Specifying Fuzzy Data from Grey-Tone Pictures for Pattern-Recognition,
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And: Correction: PRL(17), No. 13, November 25 1996, pp. 1413-1413. BibRef

Beni, G., Liu, X.M.,
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PAMI(16), No. 9, September 1994, pp. 954-960.
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Man, Y., Gath, I.,
Detection and Separation of Ring-Shaped Clusters Using Fuzzy Clustering,
PAMI(16), No. 8, August 1994, pp. 855-861.
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Cai, Y.Y., Loh, H.T., Nee, A.Y.C.,
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Elsevier DOI 9607
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Chen, N.X., Bedrosian, S.D.,
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Binaghi, E., Gallo, I., Pepe, M.,
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IEEE Abstract. 0402
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Gallo, I.[Ignazio], Binaghi, E.[Elisabetta],
Information Extraction and Classification from Free Text Using a Neural Approach,
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Data Induced Metric and Fuzzy Clustering of Nonconvex Patterns of Arbitrary Shape,
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Mannan, B., Roy, J., Ray, A.K.,
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Tolias, Y.A., Panas, S.M.,
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IEEE Top Reference. 9805

See also Fuzzy Vessel Tracking Algorithm for Retinal Images Based on Fuzzy Clustering, A. BibRef

Mari, M., Dellepiane, S.G.,
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Dellepiane, S.G., Fontana, F., Vernazza, G.L.,
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Israel, S.A., Kasabov, N.K.,
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Boninsegna, M., Coianiz, T., Trentin, E.,
Estimating the Crowding Level with a Neuro-Fuzzy Classifier,
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Cheung, K.F.,
Fuzzy One-Mean Algorithm: Formulation, Convergence Analysis, and Applications,
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Somasundaram, A., Somasundaram, S.,
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PRL(19), No. 9, 31 July 1998, pp. 787-791. BibRef 9807

Singh, S.[Sameer],
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Wu, P.S.[Paul S.], Li, M.[Ming],
Supervised and unsupervised fuzzy-adaptive Hamming net,
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Singh, S.,
A Single Nearest Neighbor Fuzzy Approach for Pattern Recognition,
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Ray, K.S., Dinda, T.K.,
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IEEE Top Reference. 0301
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Melgani, F., Al Hashemy, B.A.R., Taha, S.M.R.,
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IEEE Top Reference. 0002
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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,
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Castro-Martínez, A.[Alfonso], Bóveda, C.[Carmen], Arcay, B.[Bernardino],
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Ménard, M.[Michel], Demko, C.[Christophe], Loonis, P.[Pierre],
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Elsevier DOI 0110
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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

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Structure in data; Bayesian theory; Clustering learning; Classification learning; Simultaneous classification and clustering learning BibRef

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Fuzzy c-means clustering methods for symbolic interval data,
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Fuzzy classifier; Genetic algorithms; Optimization of fuzzy parameters; Fuzzy rule extraction; Pattern classification BibRef

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Remote sensing; Knowledge-base representation; Multitemporal interpretation; Fuzzy logic BibRef

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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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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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Elsevier DOI 0805
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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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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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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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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Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering,
CirSysVideo(31), No. 6, June 2021, pp. 2114-2124.
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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Pattern recognition, Hierarchical structure, Fuzzy system, Cycle mechanism BibRef

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Fuzzy c-means, Fuzziness parameter, Careful tuning, Deterministic annealing BibRef

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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],
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CVIU(235), 2023, pp. 103765.
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Fuzzy C-Means clustering, Local and non-local spatial information, Noise image segmentation BibRef

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

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

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IVCNZ18(1-6)
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Possibilistic fuzzy C-means clustering under observer-biased framework,
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Optimisation of Fuzzy Based Soft Classifiers for Remote Sensing Data,
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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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Peng, D.Q.[Dai-Qiang], Ling, Y.[Yun], Wang, Y.[Yang],
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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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IEEE DOI 0609
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And: ICPR06(II: 1162-1168).
IEEE DOI 0609
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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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IEEE DOI 0009
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Gao, Q.G.[Qi-Gang], Qing, D.[Dan], Lu, S.W.[Si-Wei],
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Fuzzy Cluster Filter,
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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 .


Last update:Mar 16, 2024 at 20:36:19