Multi-view clustering via canonical correlation analysis

ACM International Conference Proceeding Series

Volumn 382, Issue , 2009, Pages

  Chaudhuri, Kamalika ^a   Kakade, Sham M ^b   Livescu, Karen ^b   Sridharan, Karthik ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO-VISUAL; CANONICAL CORRELATION ANALYSIS; CLUSTERING DATA; DOCUMENT CLUSTERING; HARD PROBLEMS; HIGH DIMENSIONS; LINK STRUCTURE; MIXTURES OF GAUSSIANS; MULTI-VIEW CLUSTERING; MULTIPLE VIEWS; PRINCIPAL COMPONENTS ANALYSIS; RANDOM PROJECTIONS; SEPARATION CONDITION; SPEAKER CLUSTERING; WIKIPEDIA;

CLUSTERING ALGORITHMS; PRINCIPAL COMPONENT ANALYSIS; ROBOT LEARNING;

CLUSTER ANALYSIS;

EID: 70049098331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1553374.1553391     Document Type: Conference Paper

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