Effective document clustering with particle swarm optimization

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

Volumn 6466 LNCS, Issue , 2010, Pages 623-629

  Killani, Ramanji ^a   Rao, K Srinivasa ^b   Satapathy, Suresh Chandra ^c   Pradhan, Gunanidhi ^d   Chandran, K R ^e  

^a MVGR COLLEGE OF ENGINEERING   (India)

^b CMR COLLEGE OF ENGINEERING TECHNOLOGY   (India)

^c ANIL NEERUKONDA INSTITUTE OF TECHNOLOGY AND SCIENCES   (India)

^d GOVERNMENT COLLEGE OF ENGINEERING   (India)

^e PSG COLLEGE OF TECHNOLOGY   (India)

Author keywords

Clustering; Dimensionality reduction; PSO

Indexed keywords

CLUSTER CENTROIDS; CLUSTERING; COMPARATIVE ANALYSIS; DATA SETS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION TECHNIQUES; DOCUMENT CLUSTERING; K-MEANS; PSO; STOP WORD; BASED CLUSTERING;

PARTICLE SWARM OPTIMIZATION (PSO);

REDUCTION;

EID: 78650882634     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17563-3_73     Document Type: Conference Paper

References (12)

1. van der Maaten, L.J.P., Postma, E.O., van den Herik, H.J.: Dimensionality Reduction a Comparative Review, Citeseer (2007)
2. Cui, X., Potok, T.E., Palathingal, P.: Document Clustering using particle swarm optimization. In: IEEE Swarm Intelligence Symposium (2005)
3. Wai-chiu, W., Ada Wai-chee, F.: Incremental Document Clustering for Web Page. In: IEEE International Conference on Information Society (2000)
4. Tan, A.-H.: Text Mining state of art and challenges. In: Zhong, N., Zhou, L. (eds.) PAKDD 1999. LNCS (LNAI), vol. 1574. Springer, Heidelberg (1999)
5. Weixin, T., Fuxi, Z.: Text document clustering based on the modifying relations. In: 2008 International Conference on Computer Science (2008)
6. Balasubramanian, M., Schwartz, E.L.: Introduction to Statistical Pattern Recognition. In: Fukanaga, K. (ed.), 2nd edn., Academic Press, San Diego (1990)
7. Parsons, L., Hague, E., Liu, H.: Subspace clustering for high dimensional data. In: Parsons, L., Haque, E., Liu, H. (eds.) ACM SIGKDD Explorations Newsletter (2004)
8. R uger, S.M., Gauch, S.E.: Feature reduction for document clustering and classification, Citeseer (2000)
9. The TechTC-300 Test Collection for Text Categorization Version: 1.0 TechTC - Technion Repository of Text Categorization Datasets Maintained by: E. Gabrilovich, gabr@cs.technion.ac.il
10. Han, J., Kamber, M.: DataMining concepts and Techniques, 2nd edn. Morgan Kaufmann publishers, San Francisco (2006)
11. MacQueen, J.B.: Some Methods for classification and Analysis of Multivariate Observations. In: Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 281-297. University of California Press (1967)
12. Kennedy, J.F., Eberhart, R.C.: Particle swarm optimization. In: Proceedings of the IEEE International conference on neural networks, Perth, Australia, vol. 4, pp. 1942-1948 (1995)