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Volumn 5768 LNCS, Issue PART 1, 2009, Pages 10-19

Kernel learning for local learning based clustering

Author keywords

[No Author keywords available]

Indexed keywords

DOCUMENT DATASETS; FEATURE SELECTION; KERNEL LEARNING; KERNEL WEIGHT; KERNEL-BASED CLUSTERING; LINEAR COMBINATIONS; LOCAL LEARNING; MULTIPLE KERNELS;

EID: 70449468079     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04274-4_2     Document Type: Conference Paper
Times cited : (6)

References (15)
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    • 84864040410 scopus 로고    scopus 로고
    • A Local Learning Approach for Clustering
    • Wu, M., Schölkopf, B.: A Local Learning Approach for Clustering. In: NIPS, pp. 1529-1536 (2006)
    • (2006) NIPS , pp. 1529-1536
    • Wu, M.1    Schölkopf, B.2
  • 2
    • 67650700155 scopus 로고    scopus 로고
    • Zeng, H., Cheung, Y.M.: Feature Selection for Local Learning based Clustering. In: PAKDD, pp. 414-425 (2009)
    • Zeng, H., Cheung, Y.M.: Feature Selection for Local Learning based Clustering. In: PAKDD, pp. 414-425 (2009)
  • 4
    • 33644783522 scopus 로고    scopus 로고
    • Self-tuning Spectral Clustering
    • Zelnik-Manor, L., Perona, P.: Self-tuning Spectral Clustering. In: NIPS, pp. 1601-1608 (2004)
    • (2004) NIPS , pp. 1601-1608
    • Zelnik-Manor, L.1    Perona, P.2
  • 5
    • 33749317042 scopus 로고    scopus 로고
    • Learning Spectral Clustering, with Application to Speech Separation
    • Bach, F.R., Jordan, M.I.: Learning Spectral Clustering, with Application to Speech Separation. JMLR 7, 1963-2001 (2006)
    • (2006) JMLR , vol.7 , pp. 1963-2001
    • Bach, F.R.1    Jordan, M.I.2
  • 7
    • 84864041449 scopus 로고    scopus 로고
    • Generalized Maximum Margin Clustering and Unsupervised Kernel Learning
    • Valizadegan, H., Jin, R.: Generalized Maximum Margin Clustering and Unsupervised Kernel Learning. In: NIPS, pp. 1417-1424 (2007)
    • (2007) NIPS , pp. 1417-1424
    • Valizadegan, H.1    Jin, R.2
  • 8
    • 72449156016 scopus 로고    scopus 로고
    • Fusion of Similarity Data in Clustering
    • Lange, T., Buhmann, J.: Fusion of Similarity Data in Clustering. In: NIPS, pp. 723-730 (2005)
    • (2005) NIPS , pp. 723-730
    • Lange, T.1    Buhmann, J.2
  • 9
    • 0041875229 scopus 로고    scopus 로고
    • On Spectral Clustering: Analysis and an Algorithm
    • Ng, A., Jordan, M., Weiss, Y.: On Spectral Clustering: Analysis and an Algorithm. In: NIPS, pp. 849-856 (2001)
    • (2001) NIPS , pp. 849-856
    • Ng, A.1    Jordan, M.2    Weiss, Y.3
  • 10
    • 0344551898 scopus 로고    scopus 로고
    • Multiclass Spectral Clustering
    • Yu, S.X., Shi, J.: Multiclass Spectral Clustering. In: ICCV, pp. 313-319 (2003)
    • (2003) ICCV , pp. 313-319
    • Yu, S.X.1    Shi, J.2
  • 11
    • 0023416451 scopus 로고
    • Projected Gradients Methods for Linearly Constrained Problems
    • Calamai, P.H., Moré, J.J.: Projected Gradients Methods for Linearly Constrained Problems. Math. Prog., 93-116 (1987)
    • (1987) Math. Prog , vol.93-116
    • Calamai, P.H.1    Moré, J.J.2
  • 12
    • 34547971778 scopus 로고    scopus 로고
    • More Efficiency in Multiple Kernel Learning
    • Rakotomamonjy, A., Bach, F., Canu, S., Grandvalet, Y.: More Efficiency in Multiple Kernel Learning. In: ICML, pp. 775-782 (2007)
    • (2007) ICML , pp. 775-782
    • Rakotomamonjy, A.1    Bach, F.2    Canu, S.3    Grandvalet, Y.4
  • 14


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.