A model-based approach for discrete data clustering and feature weighting using MAP and stochastic complexity

IEEE Transactions on Knowledge and Data Engineering

Volumn 21, Issue 12, 2009, Pages 1649-1664

  Bouguila, Nizar ^a  

^a Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

Dirichlet prior; Discrete data; Feature weighting selection; Finite mixture models; Fisher kernel; Image databases; MAP; Multinomial; Stochastic complexity; Text clustering

Indexed keywords

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; FEATURE SELECTION; IMAGE PROCESSING; LEARNING SYSTEMS; MIXTURES; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

DIRICHLET PRIOR; DISCRETE DATA; FEATURE WEIGHTING; FEATURE WEIGHTING/SELECTION; FINITE MIXTURE MODELING; FISHER KERNELS; IMAGE DATABASE; MULTINOMIALS; STOCHASTIC COMPLEXITY; TEXT CLUSTERING;

DATA MINING;

EID: 70350680424     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2009.42     Document Type: Article

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