ConSOM: A conceptional self-organizing map model for text clustering

Neurocomputing

Volumn 71, Issue 4-6, 2008, Pages 857-862

  Liu, Yuanchao ^a   Wang, Xiaolong ^a   Wu, Chong ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

HowNet; Neuron vector; SOM; Text clustering; Weight modification

Indexed keywords

CLUSTER ANALYSIS; NEURONS; SEMANTICS; VECTORS;

NEURON VECTOR; TEXT CLUSTERING; WEIGHT MODIFICATION;

SELF ORGANIZING MAPS;

ARTICLE; CLASSIFICATION ALGORITHM; CLUSTER ANALYSIS; CONCEPTIONAL SELF ORGANIZING MAP MODEL; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL VARIABLE; NERVE CELL; PRIORITY JOURNAL; SEMANTICS; SENSITIVITY ANALYSIS; STATISTICAL MODEL; SUPPORT VECTOR MACHINE;

EID: 38649125634     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.03.006     Document Type: Article

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