A theoretic framework of K-means-based Consensus Clustering

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2013, Pages 1799-1805

  Wu, Junjie ^a   Liu, Hongfu ^a   Xiong, Hui ^b   Cao, Jie ^c  

^a BEIHANG UNIVERSITY   (China)

^b Rutgers University   (United States)

^c NANJING UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER STRUCTURE; CLUSTERING QUALITY; CONSENSUS CLUSTERING; HIGH ROBUSTNESS; MISSING VALUES; STATE-OF-THE-ART METHODS; SYSTEMATIC STUDY; UTILITY FUNCTIONS;

ARTIFICIAL INTELLIGENCE; VIRTUAL REALITY;

CLUSTER ANALYSIS;

EID: 84896061966     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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