메뉴 건너뛰기




Volumn , Issue , 2007, Pages 1121-1128

Stability of K-means clustering

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING SOLUTIONS; COVERING NUMBERS; EMPIRICAL RISK MINIMIZATION; FINITE NUMBER; GLOBAL MINIMIZERS; K-MEANS CLUSTERING; MULTINOMIAL DISTRIBUTIONS; NUMBER OF CLUSTERS; STABILITY AND INSTABILITY; UNDERLYING DISTRIBUTION;

EID: 38049080280     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (79)

References (12)
  • 1
    • 9444254174 scopus 로고    scopus 로고
    • A framework for statistical clustering with a constant time approximation algorithms for k-median clustering
    • Shai Ben-David. A framework for statistical clustering with a constant time approximation algorithms for k-median clustering. In COLT, pages 415-426, 2004.
    • (2004) COLT , pp. 415-426
    • Shai, B.-D.1
  • 3
    • 84864067182 scopus 로고    scopus 로고
    • A sober look at clustering stability
    • Shai Ben-David, Ulrike von Luxburg, and David Pal. A sober look at clustering stability. In COLT, 2006.
    • (2006) COLT
    • Shai, B.-D.1    Von Luxburg, U.2    Pal, D.3
  • 5
    • 0036359730 scopus 로고    scopus 로고
    • A stability based method for discovering structure in clustered data
    • A. Ben-Hur, A. Elisseeff, and I. Guyon. A stability based method for discovering structure in clustered data. In Pasific Symposium on Biocomputing, volume 7, pages 6-17, 2002.
    • (2002) Pasific Symposium on Biocomputing , vol.7 , pp. 6-17
    • Ben-Hur, A.1    Elisseeff, A.2    Guyon, I.3
  • 7
    • 0005098442 scopus 로고    scopus 로고
    • Empirical risk approximation: An induction principle for unsupervised learning
    • Joachim M. Buhmann. Empirical risk approximation: An induction principle for unsupervised learning. Technical Report IAI-TR-98-3, 3, 1998.
    • (1998) Technical Report IAI-TR-98-3 , vol.3
    • Buhmann, J.M.1
  • 9
    • 33845432918 scopus 로고    scopus 로고
    • Stability properties of empirical risk minimization over Donsker classes
    • Accepted
    • A. Caponnetto and A. Rakhlin. Stability properties of empirical risk minimization over Donsker classes. Journal of Machine Learning Research. Accepted. Available at http://cbcl.mit.edu/people/rakhlin/erm.pdf, 2006.
    • (2006) Journal of Machine Learning Research
    • Caponnetto, A.1    Rakhlin, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.