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Volumn , Issue , 2008, Pages

DIFFRAC : A discriminative and flexible framework for clustering

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; COMBINATORIAL OPTIMIZATION; CONVEX OPTIMIZATION; RELAXATION PROCESSES; SINGULAR VALUE DECOMPOSITION; SUPERVISED LEARNING;

EID: 85161978168     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (63)

References (20)
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    • Improved approximation algorithms for MAX k-CUT and MAX BISECTION
    • Springer
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  • 7
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    • Correlation clustering: Maximizing agreements via semidefinite programming
    • C. Swamy. Correlation clustering: maximizing agreements via semidefinite programming. In ACM-SIAM Symp. Discrete algorithms, 2004.
    • (2004) ACM-SIAM Symp. Discrete Algorithms
    • Swamy, C.1
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    • Twice differentiable spectral functions
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    • Learning spectral clustering, with application to speech separation
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    • Bach, F.R.1    Jordan, M.I.2
  • 10
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear Component Analysis as a Kernel Eigenvalue Problem
    • B. Schölkopf, A. J. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Comp., 10(3):1299-1319, 1998. (Pubitemid 128463674)
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.-R.3
  • 11
    • 33749267643 scopus 로고    scopus 로고
    • An investigation of computational and informational limits in gaussian mixture clustering
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.