A nonparametric Bayesian approach to modeling overlapping clusters

Journal of Machine Learning Research

Volumn 2, Issue , 2007, Pages 187-194

  Heller, Katherine A ^a   Ghahramani, Zoubin ^b,c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING DATA; DATA POINTS; EXPONENTIAL FAMILY DISTRIBUTIONS; GENE EXPRESSION DATA; INFERENCE ALGORITHM; INFINITE NUMBERS; MIXTURE MODEL; NON-PARAMETRIC BAYESIAN; NUMBER OF CLUSTERS; OVERLAPPING CLUSTERS; OVERLAPPING REGIONS;

ARTIFICIAL INTELLIGENCE; GENE EXPRESSION; INFERENCE ENGINES;

BAYESIAN NETWORKS;

EID: 84862281549     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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