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Volumn 30, Issue 2, 2001, Pages 79-90

Data bubbles: Quality preserving performance boosting for hierarchical clustering

Author keywords

Clustering; Data compression; Database mining; Sampling

Indexed keywords


EID: 0040748327     PISSN: 01635808     EISSN: None     Source Type: Journal    
DOI: 10.1145/376284.375672     Document Type: Article
Times cited : (12)

References (10)
  • 8
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • MacQueen J.: "Some Methods for Classification and Analysis of Multivariate Observations", Proc. 5th Berkeley Symp. Math. Statist. Prob., 1967, Vol. 1, pp. 281-297.
    • (1967) Proc. 5th Berkeley Symp. Math. Statist. Prob. , vol.1 , pp. 281-297
    • MacQueen, J.1
  • 9
    • 0002663098 scopus 로고
    • SLINK: An optimally efficient algorithm for the single-link cluster method
    • Sibson R.: "SLINK: an optimally efficient algorithm for the single-link cluster method", the Computer Journal Vol. 16, No. 1, 1973, pp. 30-34.
    • (1973) The Computer Journal , vol.16 , Issue.1 , pp. 30-34
    • Sibson, R.1
  • 10
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An efficient data clustering method for very large databases
    • Montreal, Canada, ACM Press, New York
    • Zhang T., Ramakrishnan R., Linvy M.: "BIRCH: An Efficient Data Clustering Method for Very Large Databases", Proc. ACM SIGMOD Int. Conf. on Management of Data, Montreal, Canada, ACM Press, New York, 1996, pp. 103-114.
    • (1996) Proc. ACM SIGMOD Int. Conf. on Management of Data , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    Linvy, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.