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Volumn E96-D, Issue 10, 2013, Pages 2282-2285

Direct approximation of quadratic mutual information and its application to dependence-maximization clustering

Author keywords

Information theoretic clustering; Least square density difference estimation; Quadratic mutual information

Indexed keywords

STATISTICS;

EID: 84885047407     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1587/transinf.E96.D.2282     Document Type: Article
Times cited : (13)

References (11)
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    • K. Pearson, "On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling," Philosophical Magazine Series 5, vol.50, no.302, pp.157-175, 1900.
    • (1900) Philosophical Magazine Series 5 , vol.50 , Issue.302 , pp. 157-175
    • Pearson, K.1
  • 4
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    • A mathematical theory of communication
    • C. Shannon, "A mathematical theory of communication," Bell Syst. Tech. J., vol.27, pp.379-423, 1948.
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    • Shannon, C.1
  • 7
    • 84865400174 scopus 로고    scopus 로고
    • Density ratio matching under the Bregman divergence: A unified framework of density ratio estimation
    • M. Sugiyama, T. Suzuki, and T. Kanamori, "Density ratio matching under the Bregman divergence: A unified framework of density ratio estimation," Annals of the Institute of Statistical Mathematics, vol.64, no.5, pp.1009-1044, 2012.
    • (2012) Annals of the Institute of Statistical Mathematics , vol.64 , Issue.5 , pp. 1009-1044
    • Sugiyama, M.1    Suzuki, T.2    Kanamori, T.3
  • 9
    • 60849121715 scopus 로고    scopus 로고
    • Mutual information estimation reveals global associations between stimuli and biological processes
    • 12 pages
    • T. Suzuki, M. Sugiyama, T. Kanamori, and J. Sese, "Mutual information estimation reveals global associations between stimuli and biological processes," BMC Bioinformatics, vol.10, no.1, p.S52 (12 pages), 2009.
    • (2009) BMC Bioinformatics , vol.10 , Issue.1
    • Suzuki, T.1    Sugiyama, M.2    Kanamori, T.3    Sese, J.4
  • 11
    • 1942450610 scopus 로고    scopus 로고
    • Feature extraction by non-parametric mutual information maximization
    • K. Torkkola, "Feature extraction by non-parametric mutual information maximization," J. Machine Learning Research, vol.3, pp.1415-1438, 2003. Technology
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    • Torkkola, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.