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Volumn 57, Issue 1, 2006, Pages 37-63

Indexed-based density biased sampling for clustering applications

Author keywords

Clustering; Data mining; Density bias; Indexes; Sampling

Indexed keywords

CLUSTERING; DENSITY BIAS; INDEXES;

EID: 31844452527     PISSN: 0169023X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.datak.2005.03.003     Document Type: Article
Times cited : (22)

References (32)
  • 12
    • 0000835955 scopus 로고    scopus 로고
    • Optimal grid-clustering: Towards breaking the curse of dimensionality in high-dimensional clustering
    • A. Hinneburg, D. Keim, Optimal grid-clustering: towards breaking the curse of dimensionality in high-dimensional clustering, in: Proceedings of the Conference on Very Large Databases (VLDB'99), 1999, pp. 506-517.
    • (1999) Proceedings of the Conference on Very Large Databases (VLDB'99) , pp. 506-517
    • Hinneburg, A.1    Keim, D.2
  • 17
    • 22444451988 scopus 로고    scopus 로고
    • Is sampling useful in data mining? A case in the maintenance of discovered association rules
    • S. Lee, D. Cheung, and B. Kao Is sampling useful in data mining? A case in the maintenance of discovered association rules Data Mining and Knowledge Discovery 2 3 1998 233 262
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.3 , pp. 233-262
    • Lee, S.1    Cheung, D.2    Kao, B.3
  • 30
    • 0022026217 scopus 로고
    • Random sampling with a reservoir
    • J.S. Vitter Random sampling with a reservoir ACM Trans. Math. Software 11 1 1985 37 57
    • (1985) ACM Trans. Math. Software , vol.11 , Issue.1 , pp. 37-57
    • Vitter, J.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.