Information cut for clustering using a gradient descent approach
暂无分享,去创建一个
Robert Jenssen | Deniz Erdogmus | José Carlos Príncipe | Torbjørn Eltoft | Kenneth E. Hild | Deniz Erdoğmuş | J. Príncipe | R. Jenssen | T. Eltoft | K. Hild
[1] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[2] Guy L. Scott,et al. Feature grouping by 'relocalisation' of eigenvectors of the proximity matrix , 1990, BMVC.
[3] Sergios Theodoridis,et al. Pattern Recognition, Third Edition , 2006 .
[4] J.C. Principe,et al. Information theoretic spectral clustering , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[5] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[6] 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..
[7] Charles J. Alpert,et al. Spectral Partitioning: The More Eigenvectors, The Better , 1995, 32nd Design Automation Conference.
[8] Stephen J. Roberts,et al. Maximum certainty data partitioning , 2000, Pattern Recognit..
[9] B. Ripley,et al. Pattern Recognition , 1968, Nature.
[10] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[11] 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..
[12] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[13] José Carlos Príncipe,et al. Information Theoretic Clustering , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[14] P. J. Green,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[15] J. Simonoff. Multivariate Density Estimation , 1996 .
[16] Deniz Erdogmus,et al. Information Theoretic Learning , 2005, Encyclopedia of Artificial Intelligence.
[17] Anil K. Jain,et al. Unsupervised texture segmentation using Gabor filters , 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.
[18] Satosi Watanabe,et al. Pattern Recognition: Human and Mechanical , 1985 .
[19] 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.
[20] Naftali Tishby,et al. Data Clustering by Markovian Relaxation and the Information Bottleneck Method , 2000, NIPS.
[21] Robert Jenssen,et al. Information cut and information forces for clustering , 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).
[22] Joachim M. Buhmann,et al. Pairwise Data Clustering by Deterministic Annealing , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Singiresu S. Rao. Engineering Optimization : Theory and Practice , 2010 .
[24] H. L. Le Roy,et al. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability; Vol. IV , 1969 .
[25] Larry S. Davis,et al. Efficient Kernel Density Estimation Using the Fast Gauss Transform with Applications to Color Modeling and Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[26] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[27] Santosh S. Vempala,et al. On clusterings-good, bad and spectral , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[28] 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).
[29] James C. Bezdek,et al. A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[31] Geoffrey C. Fox,et al. Vector quantization by deterministic annealing , 1992, IEEE Trans. Inf. Theory.
[32] D. Higham,et al. A Unified View of Spectral Clustering ∗ , 2004 .
[33] Anna R. Karlin,et al. Spectral analysis of data , 2001, STOC '01.
[34] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[35] Robert Jenssen,et al. Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering , 2005, EMMCVPR.
[36] Yair Weiss,et al. Segmentation using eigenvectors: a unifying view , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.