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Volumn 218, Issue 10, 2004, Pages 1269-1273

A two-phase K-means algorithm for large datasets

Author keywords

Clustering; Data mining; K means method

Indexed keywords

ALGORITHMS; BUFFER STORAGE; ITERATIVE METHODS;

EID: 8744234867     PISSN: 09544062     EISSN: None     Source Type: Journal    
DOI: 10.1243/0954406042369008     Document Type: Article
Times cited : (23)

References (6)
  • 1
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • Statistics, Berkeley, California, (University of California Press, Berkeley and Los Angeles, California)
    • MacQueen, J. B. Some methods for classification and analysis of multivariate observations. In Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, Vol. I, Statistics, Berkeley, California, 1967, pp. 281-297 (University of California Press, Berkeley and Los Angeles, California).
    • (1967) Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability , vol.1 , pp. 281-297
    • MacQueen, J.B.1
  • 3
    • 0002679222 scopus 로고    scopus 로고
    • Scalability for clustering algorithms revisited, SIGKDD explorations
    • Farnstrom, F., Lewis, J. and Elkan, C. Scalability for clustering algorithms revisited, SIGKDD explorations. ACM SIGKDD, 2000, 2(1), 51-57.
    • (2000) ACM SIGKDD , vol.2 , Issue.1 , pp. 51-57
    • Farnstrom, F.1    Lewis, J.2    Elkan, C.3
  • 5
    • 0003704318 scopus 로고    scopus 로고
    • University of California, Department of Information and Computer Science, Irvine, California
    • Hettich, S. and Bay, S. D. The UCI KDD Archive (http:/ /kdd.ics.uci.edu). University of California, Department of Information and Computer Science, Irvine, California, 1999.
    • (1999) The UCI KDD Archive
    • Hettich, S.1    Bay, S.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.