An effective document clustering method using user-adaptable distance metrics

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2002, Pages 16-20

  Kim, Han Joon ^a   Lee, Sang Goo ^a  

^a Seoul National University   (South Korea)

Author keywords

Document clustering; Hierarchical clustering; Information organization; Quadratic form distance; User knowledge

Indexed keywords

CONSTRAINT THEORY; DATABASE SYSTEMS; FILE ORGANIZATION; GRADIENT METHODS; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE REPRESENTATION; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; VECTORS;

DOCUMENT CLUSTERING; HIERARCHICAL CLUSTERING; INFORMATION ORGANIZATION; QUADRATIC FORM DISTANCE; UNSUPERVISED LEARNING; USER ADAPTABLE DISTANCE METRICS; USER KNOWLEDGE;

LEARNING SYSTEMS;

EID: 0036037186     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/508792.508796     Document Type: Conference Paper

References (13)

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