메뉴 건너뛰기




Volumn 1, Issue 3, 2007, Pages

RIC: Parameter-free noise-robust clustering

Author keywords

Clustering; Data summarization; Noise robustness; Parameter free data mining

Indexed keywords

DATA SUMMARIZATION; NOISE ROBUSTNESS; PARAMETER-FREE DATA MINING; ROBUST INFORMATION-THEORETIC CLUSTERING (RIC);

EID: 37049038390     PISSN: 15564681     EISSN: 1556472X     Source Type: Journal    
DOI: 10.1145/1297332.1297334     Document Type: Conference Paper
Times cited : (26)

References (25)
  • 4
    • 0027453616 scopus 로고
    • Model-based Gaussian and non-Gaussian clustering
    • BANFIELD, J. D. AND RAFTERY, A. E. 1993. Model-based Gaussian and non-Gaussian clustering. Biometrics 49, 3, 803-821.
    • (1993) Biometrics , vol.49 , Issue.3 , pp. 803-821
    • BANFIELD, J.D.1    RAFTERY, A.E.2
  • 14
    • 0020848951 scopus 로고
    • A survey of recent advances in hierarchical clustering algorithms
    • MURTAGH, F. 1983. A survey of recent advances in hierarchical clustering algorithms. Comput. J. 26, 4, 354-359.
    • (1983) Comput. J , vol.26 , Issue.4 , pp. 354-359
    • MURTAGH, F.1
  • 19
    • 10044254422 scopus 로고    scopus 로고
    • How many clusters? An information theoretic perspective
    • STILL, S. AND BIALEK, W. 2004. How many clusters? An information theoretic perspective. Neural Comput. 16, 2483-2506.
    • (2004) Neural Comput , vol.16 , pp. 2483-2506
    • STILL, S.1    BIALEK, W.2
  • 20
    • 0003414440 scopus 로고    scopus 로고
    • Estimating the number of clusters in a dataset via the gap statistic
    • Tech. Rep, Stanford University
    • TIBSHIRANI, R., WALTHER, G., AND HASTIE, T. 2000. Estimating the number of clusters in a dataset via the gap statistic. Tech. Rep., Stanford University.
    • (2000)
    • TIBSHIRANI, R.1    WALTHER, G.2    HASTIE, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.