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Volumn 2005, Issue , 2005, Pages 191-197

Document clustering using particle swarm optimization

Author keywords

[No Author keywords available]

Indexed keywords

DOCUMENT CLUSTERING; K-MEANS ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO); PARTITIONAL CLUSTERING ALGORITHMS;

EID: 33745786081     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (259)

References (25)
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    • Al-Sultan, K. S. and Khan, M. M. 1996. Computational experience on four algorithms for the hard clustering problem. Pattern Recogn. Lett. 17, 3, 295-308.
    • (1996) Pattern Recogn. Lett. , vol.17 , Issue.3 , pp. 295-308
    • Al-Sultan, K.S.1    Khan, M.M.2
  • 7
    • 0033666935 scopus 로고    scopus 로고
    • Comparing inertia weights and constriction factors in particle swarm optimization
    • Eberhart, R.C., and Shi, Y., 2000. Comparing Inertia Weights and Constriction Factors in Particle Swarm Optimization, 2000 Congress on Evolutionary Computing, vol. 1, pp. 84-88.
    • (2000) 2000 Congress on Evolutionary Computing , vol.1 , pp. 84-88
    • Eberhart, R.C.1    Shi, Y.2
  • 11
  • 14
    • 33745788549 scopus 로고    scopus 로고
    • Text mining with self-organizing maps
    • Oxford University Press, Inc. New York
    • Merkl D., 2002. Text mining with self-organizing maps. Handbook of data mining and knowledge, pp. 903-910, Oxford University Press, Inc. New York.
    • (2002) Handbook of Data Mining and Knowledge , pp. 903-910
    • Merkl, D.1
  • 17
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • Porter, M.F., 1980. An Algorithm for Suffix Stripping. Program, 14 no. 3, pp. 130-137.
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1
  • 20
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • Salton G. and Buckley C., 1988. Term-weighting approaches in automatic text retrieval. Information Processing and Management, 24 (5): pp. 513-523.
    • (1988) Information Processing and Management , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 21
    • 0021202650 scopus 로고
    • K-means type algorithms: A generalized convergence theorem and characterization of local optimality
    • Selim, S. Z. And Ismail, M. A. 1984. K-means type algorithms: A generalized convergence theorem and characterization of local optimality. IEEE Trans. Pattern Anal. Mach. Intell. 6, 81-87.
    • (1984) IEEE Trans. Pattern Anal. Mach. Intell. , vol.6 , pp. 81-87
    • Selim, S.Z.1    Ismail, M.A.2
  • 25
    • 3543085722 scopus 로고    scopus 로고
    • Empirical and theoretical comparisons of selected criterion functions for document clustering
    • Zhao Y. and Karypis G., 2004. Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering, Machine Learning, 55 (3): pp. 311-331.
    • (2004) Machine Learning , vol.55 , Issue.3 , pp. 311-331
    • Zhao, Y.1    Karypis, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.