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Volumn 2003-January, Issue , 2003, Pages 459-468

Information cut and information forces for clustering

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; DENSITY FUNCTIONAL THEORY; FUNCTION EVALUATION; GRAPH THEORY; INFORMATION THEORY; SIGNAL PROCESSING; TREES (MATHEMATICS);

EID: 84921517406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2003.1318045     Document Type: Conference Paper
Times cited : (13)

References (21)
  • 4
    • 0032164765 scopus 로고    scopus 로고
    • A new neural network for cluster-detection-and-labeling
    • T. Eltoft and R. J. P. deFigueiredo, "A New Neural Network for Cluster-Detection-and-Labeling," IEEE Transactions on Neural Networks, vol. 9, no. 5, pp. 1021-1035, 1998.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.5 , pp. 1021-1035
    • Eltoft, T.1    DeFigueiredo, R.J.P.2
  • 6
    • 0035481858 scopus 로고    scopus 로고
    • Self-organization in vision: Stochastic clusterine for imaee sewentation percentud grounine and im-i i i i i age database organization
    • Y. Gdalyahu, D. Weinshall and M. \Verman, "Self-Organization in Vision: Stochastic Clusterine for Imaee Sewentation. Percentud Grounine. and Im-I I I. I I age Database Organization," IEEE 'Pransactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1053-1074, 2001.
    • (2001) IEEE ' Pransactions on Pattern Analysis and Machine Intelligence , vol.23 , Issue.10 , pp. 1053-1074
    • Gdalyahu, Y.1    Weinshall, D.2    Verman, M.3
  • 7
    • 0036565280 scopus 로고    scopus 로고
    • Mercer kernel-based clustering in feature space
    • M. Girolami, "Mercer Kernel-Based Clustering in Feature Space," IEEE Transactions on Neural Networks, vol. 13, no. 3, pp. 780-784, 2002.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.3 , pp. 780-784
    • Girolami, M.1
  • 13
    • 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," Ann. Math. Stat., vol. 32, pp. 1065-1076, 1962.
    • (1962) Ann. Math. Stat , vol.32 , pp. 1065-1076
    • Parzen, E.1
  • 14
    • 0000986833 scopus 로고    scopus 로고
    • Information theoretic learning
    • S. Haykin Ed., John Wiley & Sons, Chapter 7
    • J. Principe, D. Xu and J. Fisher, "Information Theoretic Learning," in Unsupervised Adaptive Filtering, S. Haykin (Ed.), John Wiley & Sons, 2000, vol. I, Chapter 7.
    • (2000) Unsupervised Adaptive Filtering , vol.1
    • Principe, J.1    Xu, D.2    Fisher, J.3
  • 17
  • 21
    • 0027697605 scopus 로고
    • An optimal graph theoretic approach to data clus tering: Theory and its applications to image segmentation
    • Z. Wu and R. Leahy, "An Optimal Graph Theoretic Approach to Data Clus tering: Theory and Its Applications to Image Segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1101-1113, 1993.
    • (1993) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.15 , Issue.11 , pp. 1101-1113
    • Wu, Z.1    Leahy, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.