VCV2 - Visual cluster validity

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5050 LNCS, Issue , 2008, Pages 293-308

  Huband, Jacalyn M ^a   Bezdek, James C ^b  

^a UNIVERSITY OF WEST FLORIDA   (United States)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Cluster analysis; Cluster validity; Visual assessment of cluster tendency; Visual cluster validty

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; CLUSTER ANALYSIS; COMPUTATIONAL METHODS; FLOW OF SOLIDS; FUZZY CLUSTERING; INTELLIGENT CONTROL; SET THEORY;

BIVARIATE; CLUSTER TENDENCY; CLUSTER VALIDITY; CLUSTERING PROCESSES; COMPUTATIONAL INTELLIGENCE; FUZZY C-MEANS CLUSTERING METHOD; INPUT DATA; NUMBER OF CLUSTERS; NUMERICAL EXAMPLES; REAL DATA; RESEARCH FRONTIERS; VISUAL ASSESSMENT OF CLUSTER TENDENCY; VISUAL ASSESSMENTS; VISUAL CLUSTER VALIDTY; VISUAL TECHNIQUES;

CLUSTERING ALGORITHMS;

EID: 46049096774     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68860-0_14     Document Type: Conference Paper

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