Automatically determining the number of clusters using decision-theoretic rough set

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

Volumn 6954 LNAI, Issue , 2011, Pages 504-513

  Yu, Hong ^a   Liu, Zhanguo ^a   Wang, Guoyin ^a  

^a CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

clustering; clustering validity evaluation; decision theoretic rough set theory; number of clusters

Indexed keywords

CLUSTERING; CLUSTERING METHODS; CLUSTERING VALIDITY; COMPLEX DATA; DECISION-THEORETIC; DETERMINING THE NUMBER OF CLUSTERS; EVALUATION FUNCTION; HIERARCHICAL CLUSTERING ALGORITHMS; LARGE DATASETS; NUMBER OF CLUSTERS; ROUGH SET; ROUGH SET MODELS;

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; FUNCTION EVALUATION;

ROUGH SET THEORY;

EID: 80054087122     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24425-4_65     Document Type: Conference Paper

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