TCBLHT: A new method of hierarchical text clustering

2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Volumn , Issue , 2005, Pages 2178-2181

  Xu, Jian Suo ^a   Wang, Li ^b  

^a HENAN NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY LIAONING   (China)

Author keywords

Hierarchical TGSOM; Latent Semantic Analysis; Text Clustering; Vector Space Model

Indexed keywords

SEMANTICS; VECTORS;

LATENT SEMANTIC ANALYSIS (LSA); VECTOR SPACE MODEL (VSM);

DATA MINING;

EID: 28444449799     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Xu Jian-suo, Wang Zheng-ou, Wang-li, A new method of text clustering based on TGSOM, Journal of the China Society for Scientific and Technical Information,2003,11676-680.
2. S.T. Dumais, Using latent semantic analysis to improve information retrieval, [c] In CHI'88 Proceedings. 1988281-285.
3. G.W. Furnas. Information retrieval using a singular-value-decomposition model of latent semantic structure, [c] In Proceedings of SIGIR'88, 1988 36-40.
4. S.Deerwester,. Indexing by latent semantic analysis.[J] Journal of the American Society for Information Science. 1990 41(5):391-407.
5. Jiang Ning, Shi Zhong-zhi, Bayesian posteriori model selection for text clustering, Journal of computer research and development, 2002,5.