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Volumn 2006, Issue , 2005, Pages 1122-1126

Density-biased clustering based on reservoir sampling

Author keywords

[No Author keywords available]

Indexed keywords

DATA POINTS; DATA SET; DENSITY BIASED CLUSTERING; RESERVOIR-BIASED SAMPLING;

EID: 33749040897     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2005.72     Document Type: Conference Paper
Times cited : (6)

References (13)
  • 5
    • 0034826101 scopus 로고    scopus 로고
    • An experimental comparison of model-based clustering methods
    • M. Meila and D. Heckerman, "An experimental comparison of model-based clustering methods", Machine Learning, 42, 2001, pp. 9-29.
    • (2001) Machine Learning , vol.42 , pp. 9-29
    • Meila, M.1    Heckerman, D.2
  • 7
    • 0033204902 scopus 로고    scopus 로고
    • An empirical comparison of four initialization methods for the k-means algorithm
    • J. Pena, J. Lozano, and P. Larranaga, "An empirical comparison of four initialization methods for the k-means algorithm", Pattern Recognition Letters, 20, 1999, pp. 1027-1040.
    • (1999) Pattern Recognition Letters , vol.20 , pp. 1027-1040
    • Pena, J.1    Lozano, J.2    Larranaga, P.3
  • 8
    • 22044455069 scopus 로고    scopus 로고
    • Density-based clustering in spatial databases: The algorithm GDBSCAN and its application
    • J. Sander, M. Ester, H. Kriegel, and X. Xu, "Density-based clustering in spatial databases: The algorithm GDBSCAN and its application", Data Mining and Knowledge Discovery, 2, 1998, pp. 169-194.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 169-194
    • Sander, J.1    Ester, M.2    Kriegel, H.3    Xu, X.4
  • 12
    • 84862447320 scopus 로고    scopus 로고
    • Generalized k-harmonic means-boosting in unsupervised learning
    • Hewlett-Packard Labs
    • B. Zhang, "Generalized k-harmonic means-boosting in unsupervised learning", Technical Report HPL-2000-137. Hewlett-Packard Labs, 2000.
    • (2000) Technical Report , vol.HPL-2000-137
    • Zhang, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.