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Volumn , Issue , 2007, Pages 633-640

Kernel maximum entropy data transformation and an enhanced spectral clustering algorithm

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DATA TRANSFORMATION; KERNEL PCA; MAXIMUM ENTROPY; PARZEN WINDOWING; PRINCIPLE OF MAXIMUM ENTROPY; RENYI'S ENTROPY;

EID: 70049113266     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (13)
  • 1
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. Roweis and L. Saul, "Nonlinear Dimensionality Reduction by Locally Linear Embedding," Science, vol. 290, pp. 2323-2326, 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 2
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. Tenenbaum, V. de Silva, and J. C. Langford, "A Global Geometric Framework for Nonlinear Dimensionality Reduction," Science, vol. 290, pp. 2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.1    De Silva, V.2    Langford, J.C.3
  • 3
    • 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 Computation, vol. 10, pp. 1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.J.2    Müller, K.R.3
  • 5
    • 84898948849 scopus 로고    scopus 로고
    • The Laplacian PDF distance: A cost function for clustering in a kernel feature space
    • MIT Press, Cambridge
    • R. Jenssen, D. Erdogmus, J. C. Principe, and T. Eltoft, "The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space," in Advances in Neural Information Processing Systems 17, MIT Press, Cambridge, 2005, pp. 625-632.
    • (2005) Advances in Neural Information Processing Systems , vol.17 , pp. 625-632
    • Jenssen, R.1    Erdogmus, D.2    Principe, J.C.3    Eltoft, T.4
  • 8
    • 0012993529 scopus 로고    scopus 로고
    • Orthogonal series density estimation and the kernel eigenvalue problem
    • M. Girolami, "Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem," Neural Computation, vol. 14, no. 3, pp. 669-688, 2002.
    • (2002) Neural Computation , vol.14 , Issue.3 , pp. 669-688
    • Girolami, M.1
  • 10
    • 0001473437 scopus 로고
    • On the estimation of a probability density function and the mode
    • E. Parzen, "On the Estimation of a Probability Density Function and the Mode," The Annals of Mathematical Statistics, vol. 32, pp. 1065-1076, 1962.
    • (1962) The Annals of Mathematical Statistics , vol.32 , pp. 1065-1076
    • Parzen, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.