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Volumn , Issue , 2006, Pages 16-

An efficient clustering algorithm for small text documents

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; COMPUTATIONAL METHODS; NUMERICAL ANALYSIS; PROBLEM SOLVING; TEXT PROCESSING;

EID: 35348819587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WAIMW.2006.4     Document Type: Conference Paper
Times cited : (3)

References (11)
  • 1
    • 85153959666 scopus 로고
    • Convergence properties of the K-means algorithms
    • The MIT Press, Cambridge, MA
    • L. Bottou and Y. Bengio, "Convergence properties of the K-means algorithms", Advances in Neural Information Processing Systems 7, The MIT Press, Cambridge, MA, 1995, pp. 585-592.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 585-592
    • Bottou, L.1    Bengio, Y.2
  • 2
    • 0021202650 scopus 로고
    • K-means-type algorithms: A generalized convergence theorem and characterization of local optimality
    • S. Z. Selim and M. A. Ismail, "K-means-type algorithms: a generalized convergence theorem and characterization of local optimality", IEEE Trans. Pattern Analysis and Machine Intelligence, 1984, pp.81-87.
    • (1984) IEEE Trans. Pattern Analysis and Machine Intelligence , pp. 81-87
    • Selim, S.Z.1    Ismail, M.A.2
  • 3
    • 0000014486 scopus 로고
    • Cluster analysis of multivariate data: Efficiency vs. inter-pretability of classifications
    • E. Forgy, "Cluster analysis of multivariate data: Efficiency vs. inter-pretability of classifications", Biometrics, vol. 21, 1965, pp. 768-780.
    • (1965) Biometrics , vol.21 , pp. 768-780
    • Forgy, E.1
  • 4
    • 35348817578 scopus 로고    scopus 로고
    • E. Rasmussen, Clustering algorithms, In William B. Frakes and Ricardo Baeza-Yates, edi-tors, Information Retrieval: Data Structures and Algorithms, Prentice Hall, Englewood Cliffs, New Jersey, 1992, pp.419-442.
    • E. Rasmussen, "Clustering algorithms", In William B. Frakes and Ricardo Baeza-Yates, edi-tors, Information Retrieval: Data Structures and Algorithms, Prentice Hall, Englewood Cliffs, New Jersey, 1992, pp.419-442.
  • 5
    • 0034824884 scopus 로고    scopus 로고
    • Concept decompositions for large sparse text data using clustering
    • I. S. Dhillon and D. S. Modha, "Concept decompositions for large sparse text data using clustering", Machine Learning, 2001, pp.143-175.
    • (2001) Machine Learning , pp. 143-175
    • Dhillon, I.S.1    Modha, D.S.2
  • 8
    • 0027029929 scopus 로고    scopus 로고
    • Douglass R.Cutting, David R. Karger, Jan O.Pedersen and John W. Tukey. Scater/Gather., A Cluster-based Approach to Browsing Large Document Collections, In: Proc. of 15th Ann SIGIR 1992, Denmark, 1992, pp.318-329.
    • Douglass R.Cutting, David R. Karger, Jan O.Pedersen and John W. Tukey. Scater/Gather., "A Cluster-based Approach to Browsing Large Document Collections", In: Proc. of 15th Ann SIGIR 1992, Denmark, 1992, pp.318-329.
  • 9
    • 0022064511 scopus 로고
    • A best possible heuristic for the k-center problem
    • D. S. D. Hochbaum, "A best possible heuristic for the k-center problem", Mathematics of Operations Research, 1985, pp.180-184.
    • (1985) Mathematics of Operations Research , pp. 180-184
    • Hochbaum, D.S.D.1
  • 10
    • 85170282443 scopus 로고    scopus 로고
    • A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
    • M.Ester, H-P.Kriegel, Sander J., X Xu., "A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise", In: Proc. of KDD 1996, 1996, pp. 226-231.
    • (1996) Proc. of KDD , pp. 226-231
    • Ester, M.1    Kriegel, H.-P.2    Sander, J.3    Xu, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.