Effective fuzzy c-means clustering algorithms for data clustering problems

Expert Systems with Applications

Volumn 39, Issue 7, 2012, Pages 6292-6300

  Kannan, S R ^a   Ramathilagam, S ^b   Chung, P C ^b  

^a PONDICHERRY UNIVERSITY   (India)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Clustering; Data clustering; Entropy FCM; Kernel distance functions; Regularization functions

Indexed keywords

CLUSTER CENTERS; CLUSTER VALIDITY; CLUSTERING; CLUSTERING METHODS; CLUSTERING TECHNIQUES; COMPUTATIONAL TASK; DATA CLUSTERING; DATA OBJECTS; FCM CLUSTERING; FUZZY C MEAN; FUZZY C-MEANS ALGORITHMS; FUZZY C-MEANS CLUSTERING ALGORITHMS; INTRINSIC STRUCTURES; KERNEL DISTANCE; KERNEL DISTANCE FUNCTIONS; MEAN DISTANCES; MEASUREMENT UNCERTAINTY; NUMBER OF CLUSTERS; OBJECTIVE FUNCTIONS; OPTIMAL PARAMETER; PAPER SEGMENTS; QUADRATIC ENTROPY; REGULARIZATION FUNCTION; STANDARD OBJECTIVE FUNCTION; SYNTHETIC CONTROL CHART;

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; COPYING; ENTROPY; FUZZY SYSTEMS; TIME SERIES; UNCERTAINTY ANALYSIS;

FUZZY CLUSTERING;

EID: 84856957828     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.11.063     Document Type: Article

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