On the performance of feature weighting K-means for text subspace clustering

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

Volumn 3739 LNCS, Issue , 2005, Pages 502-512

  Jing, Liping ^a   Ng, Michael K ^b   Xu, Jun ^a   Huang, Joshua Zhexue ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

Convergency; Feature Weighting; Scalability; Subspace Clustering; Text Clustering

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; OPTIMAL CONTROL SYSTEMS; SEMANTICS; TEXT PROCESSING; VECTORS;

FEATURE WEIGHTING; SCALABILITY; SUBSPACE CLUSTERING; TEXT CLUSTERING;

FEATURE EXTRACTION;

EID: 33646509173     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11563952_44     Document Type: Conference Paper

References (15)

1. A. Jain and R. Dubes, "Algorithms for clustering data," Prentice-Hall, 1988.
2. O. Etzioni and O. Zamir, "Web document clustering: a feasibility demonstration," ACM SIGIR, pp. 46-54, 1998.
3. Y. Zhao and G. Karypis, "Comparison of agglomerative and partitional document clustering algorithms," Technical report #02-014, University of Minnesota, 2002.
4. L. Parsons, E. Haque, and H. Liu, "Subspace clustering for high dimensional data: a review," SIGKDD Explorations, vol. 6, no. 1, pp. 90-105, 2004.
5. R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan, "Automatic subspace clustering of high dimensional data for data mining applications," In Proceedings of the 1998 ACM SIGMOD international conference on Man-agement of data, pp. 94-105, 1998.
6. L. Jing, M. Ng, J. Xu, and Z. Huang, "Subspace clustering of text documents with feature weighting k-means algorithm," PAKDD, 2005.
7. M. Steinbach, G. Karypis, and V. Kumar, "A comparison of document clustering techniques," Proc. Text ming workshop, KDD, 2000.
8. J. Ghosh, "Scalable clustering methods for data mining," Handbook of data mining, 2003.
9. B. Ricardo and R. PBerthier, "Modern information retrieval," Addison Wesley, 1999.
10. Y. Chan, K. Ching, K. Ng, and Z. Huang, "An optimization algorithm for clustering using weighted dissimilarity measures," Pattern recognition, vol. 37, no. 5, pp. 943-952, 2004.
11. P. Hague and P. Harris, "Sampling and statistics," Kogan Page, 1993.
12. J. Bezdek, "A convergence theorem for the fuzzy isodata clustering algorithms," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 2, pp. 1-8, 1980.
13. Y. Yang and J. Pedersen, "A comparative study on feature selection in text categoriztion," ICML97, pp. 412-420, 1997.
14. A. McCallum, "Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering," 1996. [Online]. Available: http://www.cs.cmu.edu/mccallum/bow
15. C. Fellbaum, "Wordnet: an electronic lexical databases," The MIT Press, 1998.