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Volumn 2, Issue , 2008, Pages 775-786

The relevant-set correlation model for data clustering

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS;

EID: 52649106960     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972788.70     Document Type: Conference Paper
Times cited : (9)

References (16)
  • 1
    • 0001882616 scopus 로고
    • Fast algorithms for minng association rules
    • Santiago, Chile
    • R. Agrawal and R. Srikant, Fast algorithms for minng association rules, Proc. 20th VLDB Conf., Santiago, Chile, 1994, pp. 487-499.
    • (1994) Proc. 20th VLDB Conf , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 5
    • 26944461753 scopus 로고    scopus 로고
    • Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data
    • San Francisco, CA, USA
    • L. Ertöz, M. Steinbach and V. Kumar, Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data, Proc. 3rd SIAM Intern. Conf. on Data Mining (SDM), San Francisco, CA, USA, 2003.
    • (2003) Proc. 3rd SIAM Intern. Conf. on Data Mining (SDM)
    • Ertöz, L.1    Steinbach, M.2    Kumar, V.3
  • 6
    • 85170282443 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases with noise
    • KDD, Portland, OR, USA
    • M. Ester, H.-P. Kriegel, J. Sander and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, Proc. 2nd Int. Conf. on Knowl. Discovery and Data Mining (KDD), Portland, OR, USA, 1996, pp. 226-231.
    • (1996) Proc. 2nd Int. Conf. on Knowl. Discovery and Data Mining , pp. 226-231
    • Ester, M.1    Kriegel, H.-P.2    Sander, J.3    Xu, X.4
  • 9
    • 0034228041 scopus 로고    scopus 로고
    • ROCK: A robust clustering algorithm for categorical attributes
    • S. Guha, R. Rastogi and K. Shim, ROCK: a robust clustering algorithm for categorical attributes, Inform. Sys. 25 (2000), pp. 345-366.
    • (2000) Inform. Sys , vol.25 , pp. 345-366
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 12
    • 28444491040 scopus 로고    scopus 로고
    • Fast approximate similarity search in extremely high-dimensional data sets
    • Tokyo, Japan
    • M. E. Houle and J. Sakuma, Fast approximate similarity search in extremely high-dimensional data sets, Proc. 21st IEEE Int. Conf. on Data Eng. (ICDE), Tokyo, Japan, 2005, pp. 619-630.
    • (2005) Proc. 21st IEEE Int. Conf. on Data Eng. (ICDE) , pp. 619-630
    • Houle, M.E.1    Sakuma, J.2
  • 13
    • 0015680655 scopus 로고
    • Clustering using a similarity measure based on shared nearest neighbors
    • R. A. Jaivis and E. A. Patrick, Clustering using a similarity measure based on shared nearest neighbors, IEEE Trans. Comput. C-22 (1973), pp. 1025-1034.
    • (1973) IEEE Trans. Comput , vol.C-22 , pp. 1025-1034
    • Jaivis, R.A.1    Patrick, E.A.2
  • 16


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.