Information cut and information forces for clustering
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[1] N. Deo,et al. Graph-theoretic algorithms for image segmentation , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).
[2] Nello Cristianini,et al. Spectral Kernel Methods for Clustering , 2001, NIPS.
[3] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[4] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[5] Jitendra Malik,et al. Normalized Cuts and Image Segmentation , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[6] S. Roberts,et al. Minimum entropy data partitioning , 1999 .
[7] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[8] Michael Werman,et al. Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Rui J. P. de Figueiredo,et al. A new neural network for cluster-detection-and-labeling , 1998, IEEE Trans. Neural Networks.
[10] Robert Jenssen,et al. Information Force Clustering Using Directed Trees , 2003, EMMCVPR.
[11] WEI SHUNG CHUNG. Support Vector Clustering for Web Usage Mining , 2002 .
[12] Naftali Tishby,et al. Data Clustering by Markovian Relaxation and the Information Bottleneck Method , 2000, NIPS.
[13] José Carlos Príncipe,et al. Information Theoretic Clustering , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[14] A. Rényi. On Measures of Entropy and Information , 1961 .
[15] Richard M. Leahy,et al. An Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Deniz Erdoğmuş,et al. Clustering using Renyi's entropy , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..
[17] Chris H. Q. Ding,et al. A min-max cut algorithm for graph partitioning and data clustering , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[18] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[19] Mark A. Girolami,et al. Mercer kernel-based clustering in feature space , 2002, IEEE Trans. Neural Networks.