A novel text clustering method based on TGSOM and fuzzy K-means

Proceedings of the 1st International Workshop on Education Technology and Computer Science, ETCS 2009

Volumn 1, Issue , 2009, Pages 26-30

  Hu, Jinzhu ^a   Xiong, Chunxiu ^a   Shu, Jiangbo ^a   Zhou, Xing ^a   Zhu, Jun ^a  

^a CENTRAL CHINA NORMAL UNIVERSITY   (China)

Author keywords

Fuzzy K means; Text clustering; Text clustering flow model; Tree structured growing self organizing maps

Indexed keywords

CLUSTERING METHODS; CLUSTERING NUMBER; CLUSTERING RESULTS; FEATURE SELECTION METHODS; FEATURE VECTORS; FUZZY K-MEANS; GROWING SELF ORGANIZING MAP; HIGH-DIMENSIONAL; PREPROCESS; ROUGH CLASSIFICATION; TEXT CLUSTERING; TEXT CLUSTERING FLOW MODEL; TEXTUAL DOCUMENTS; TREE-STRUCTURED GROWING SELF-ORGANIZING MAPS; UNSUPERVISED FEATURE SELECTION;

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; COMPUTER SCIENCE; CONFORMAL MAPPING; EDUCATION COMPUTING; FEATURE EXTRACTION; FUZZY RULES; FUZZY SYSTEMS; TEXT PROCESSING;

SELF ORGANIZING MAPS;

EID: 69349092576     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ETCS.2009.14     Document Type: Conference Paper

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