Semi-supervised document clustering with simultaneous text representation and categorization

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

Volumn 5781 LNAI, Issue PART 1, 2009, Pages 211-226

  Chen, Yanhua ^a   Wang, Lijun ^a   Dong, Ming ^a  

^a Wayne State University   (United States)

Author keywords

Non negative matrix factorization; Semi supervised co clustering

Indexed keywords

BACKGROUND INFORMATION; CO-CLUSTERING; DATA SETS; DISTANCE METRIC LEARNING; DOCUMENT CLUSTERING; HIGH QUALITY INFORMATION; ITERATIVE ALGORITHM; NON-NEGATIVE MATRIX FACTORIZATION; PRIOR KNOWLEDGE; SEMI-SUPERVISED; SEMI-SUPERVISED CO-CLUSTERING; TEXT MINING; TEXT REPRESENTATION; WORD-CLUSTERS;

BLIND SOURCE SEPARATION; FEATURE EXTRACTION; INFORMATION RETRIEVAL; LIGHT MEASUREMENT; ROBOT LEARNING;

FACTORIZATION;

EID: 70350686437     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04180-8_31     Document Type: Conference Paper

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