메뉴 건너뛰기




Volumn 47, Issue 1, 2014, Pages 418-426

Non-negative and sparse spectral clustering

Author keywords

Non negative matrix factorization; Normalized cut; Ratio cut; Sparseness; Spectral clustering

Indexed keywords

NONNEGATIVE MATRIX FACTORIZATION; NORMALIZED CUTS; RATIO CUT; SPARSENESS; SPECTRAL CLUSTERING;

EID: 84885022443     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2013.07.003     Document Type: Article
Times cited : (55)

References (32)
  • 1
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • U. von Luxburg A tutorial on spectral clustering Statistics and Computing 17 2007 395 416
    • (2007) Statistics and Computing , vol.17 , pp. 395-416
    • Von Luxburg, U.1
  • 8
    • 59349084916 scopus 로고    scopus 로고
    • Multiway spectral clustering a margin-based perspective
    • Z. Zhang, and M.I. Jordan Multiway spectral clustering a margin-based perspective Statistical Science 23 3 2008 383 403
    • (2008) Statistical Science , vol.23 , Issue.3 , pp. 383-403
    • Zhang, Z.1    Jordan, M.I.2
  • 11
    • 33749317042 scopus 로고    scopus 로고
    • Learning spectral clustering, with application to speech separation
    • F.R. Bach, and M.I. Jordan Learning spectral clustering, with application to speech separation Journal of Machine Learning Research 7 2006 1963 2001 (Pubitemid 44497457)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1963-2001
    • Bach, F.R.1    Jordan, M.I.2
  • 12
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D.D. Lee, and H.S. Seung Learning the parts of objects by non-negative matrix factorization Nature 401 1999 788 791
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 13
    • 84898964201 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • D.D. Lee, and H.S. Seung Algorithms for non-negative matrix factorization NIPS 13 2001 556 562
    • (2001) NIPS , vol.13 , pp. 556-562
    • Lee, D.D.1    Seung, H.S.2
  • 17
    • 33750737012 scopus 로고    scopus 로고
    • Nonnegative matrix factorization and probabilistic latent semantic indexing: Equivalence, chi-square statistic, and a hybrid method
    • C. Ding, T. Li, W. Peng, Nonnegative matrix factorization and probabilistic latent semantic indexing: equivalence, chi-square statistic, and a hybrid method, in: Proceedings of the National Conference on Artificial Intelligence (AAAI-06), 2006.
    • (2006) Proceedings of the National Conference on Artificial Intelligence (AAAI-06)
    • Ding, C.1    Li, T.2    Peng, W.3
  • 21
    • 0026396076 scopus 로고
    • An improved two-way partitioning algorithm with stable performance
    • C.K. Cheng, and Y.A. Wei An improved two-way partitioning algorithm with stable performance IEEE Transactions on Computed Aided Design 10 1991 1502 1511
    • (1991) IEEE Transactions on Computed Aided Design , vol.10 , pp. 1502-1511
    • Cheng, C.K.1    Wei, Y.A.2
  • 25
    • 33646365077 scopus 로고    scopus 로고
    • 1-norm solution is also the sparsest solution
    • DOI 10.1002/cpa.20132
    • 1-norm solution is also the sparsest solution. Communications on Pure and Applied Mathematics 59 (6) (2006) 797-829 (Pubitemid 43667226)
    • (2006) Communications on Pure and Applied Mathematics , vol.59 , Issue.6 , pp. 797-829
    • Donoho, D.L.1
  • 30
    • 84900510076 scopus 로고    scopus 로고
    • Nonnegative matrix factorization with sparseness constraints
    • P.O. Hoyer Nonnegative matrix factorization with sparseness constraints Journal of Machine Learning Research 5 2004 1457 1469
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1457-1469
    • Hoyer, P.O.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.