A generative dyadic aspect model for evidence accumulation clustering

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

Volumn 7005 LNCS, Issue , 2011, Pages 104-116

  Lourenço, André ^a,b,c   Fred, Ana ^a,c   Figueiredo, Mário ^a,c  

^a INSTITUTO DE TELECOMUNICAÇÕES   (Portugal)

^b INSTITUTO SUPERIOR DE ENGENHARIA DE LISBOA   (Portugal)

^c INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

clustering; clustering Combination; generative models; model Selection; Unsupervised learning

Indexed keywords

ASPECT MODEL; CLUSTERING; CLUSTERING COMBINATION; CLUSTERING ENSEMBLE; CO-ASSOCIATION MATRIX; CONSENSUS CLUSTERING; CORRESPONDENCE PROBLEMS; DATA SETS; EVIDENCE ACCUMULATION; EXPECTATION-MAXIMIZATION ALGORITHMS; GENERATIVE MODEL; MODEL SELECTION; MODEL SELECTION CRITERIA; NUMBER OF CLUSTERS; PROBABILISTIC ENSEMBLE; PROBABILISTIC FRAMEWORK; PROBABILISTIC MODELING; SIMILARITY MATRIX;

MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; PATTERN RECOGNITION; UNSUPERVISED LEARNING;

CLUSTERING ALGORITHMS;

EID: 80053373556     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24471-1_8     Document Type: Conference Paper

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