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Volumn 5908 LNAI, Issue , 2009, Pages 414-422

Fast single-link clustering method based on tolerance rough set model

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING METHODS; CLUSTERING QUALITY; CLUSTERING RESULTS; DATA SETS; DATABASE SCANS; LARGE DATASETS; REAL-WORLD DATASETS; ROUGH SET MODELS; SPEED-UPS; TOLERANCE ROUGH SET THEORY;

EID: 76649088376     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10646-0_50     Document Type: Conference Paper
Times cited : (11)

References (14)
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    • Optics: Ordering points to identify the clustering structure
    • Ankerst, M., Breunig, M.M., Kriegel, H.P., Sander, J.: Optics: Ordering points to identify the clustering structure. SIGMOD Rec. 28, 49-60 (1999)
    • (1999) SIGMOD Rec , vol.28 , pp. 49-60
    • Ankerst, M.1    Breunig, M.M.2    Kriegel, H.P.3    Sander, J.4
  • 6
    • 85012191696 scopus 로고    scopus 로고
    • Data bubbles for non-vector data: Speeding-up hierarchical clustering in arbitrary metric spaces
    • Zhou, J., Sander, J.: Data bubbles for non-vector data: speeding-up hierarchical clustering in arbitrary metric spaces. In: VLDB 2003, pp. 452-463 (2003)
    • (2003) VLDB 2003 , pp. 452-463
    • Zhou, J.1    Sander, J.2
  • 8
    • 0033719032 scopus 로고    scopus 로고
    • A generalized definition of rough approximations based on similarity
    • Slowinski, R., Vanderpooten, D.: A generalized definition of rough approximations based on similarity. IEEE Trans. on Knowl. and Data Eng. 12, 331-336 (2000)
    • (2000) IEEE Trans. on Knowl. and Data Eng. , vol.12 , pp. 331-336
    • Slowinski, R.1    Vanderpooten, D.2
  • 10
    • 0030157145 scopus 로고    scopus 로고
    • Birch: An efficient data clustering method for very large databases
    • Zhang, T., Ramakrishnan, R., Livny, M.: Birch: An efficient data clustering method for very large databases. In: ACM SIGMOD Conference, pp. 103-114 (1996)
    • (1996) ACM SIGMOD Conference , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3
  • 11
    • 84958045836 scopus 로고    scopus 로고
    • Fast hierarchical clustering based on compressed data and optics
    • Zighed, D.A., Komorowski, J., Žytkow, J.M. (eds.) PKDD 2000. Springer, Heidelberg
    • Breunig, M.M., Kriegel, H.P., Sander, J.: Fast hierarchical clustering based on compressed data and optics. In: Zighed, D.A., Komorowski, J., Žytkow, J.M. (eds.) PKDD 2000. LNCS (LNAI), vol.1910, pp. 232-242. Springer, Heidelberg (2000)
    • (2000) LNCS (LNAI) , vol.1910 , pp. 232-242
    • Breunig, M.M.1    Kriegel, H.P.2    Sander, J.3
  • 12
    • 0036471411 scopus 로고    scopus 로고
    • Nonhierarchical document clustering based on a tolerance rough set model
    • Ho, T.B., Nguyen, N.B.: Nonhierarchical document clustering based on a tolerance rough set model. Int. J. Intell. Syst. 17, 199-212 (2002)
    • (2002) Int. J. Intell. Syst. , vol.17 , pp. 199-212
    • Ho, T.B.1    Nguyen, N.B.2
  • 14
    • 84950632109 scopus 로고
    • Objective criteria for evaluation of clustering methods
    • Rand, W.M.: Objective Criteria for Evaluation of Clustering Methods. J. of American Statistical Association 66, 846-850 (1971)
    • (1971) J. of American Statistical Association , vol.66 , pp. 846-850
    • Rand, W.M.1


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