Differential Entropic Clustering of Multivariate Gaussians

NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems

Volumn , Issue , 2006, Pages 337-344

  Davis, Jason V ^a   Dhillon, Inderjit ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRIX; GAUSSIAN DISTRIBUTION; INFORMATION THEORY; PROGRAM DEBUGGING;

CLUSTERINGS; GAUSSIAN DATA; GAUSSIANS; K-MEANS; MEAN VECTOR; MOVIE REVIEWS; MULTIPLE SAMPLES; SENSORS NETWORK; SINGLE SAMPLE; TIMES SERIES;

SENSOR NETWORKS;

EID: 78049403723     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. A. Banerjee, S. Merugu, I. Dhillon, and S. Ghosh. Clustering with Bregman divergences. In Siam International Conference on Data Mining, pages 234-245, 2004.
2. L. Bregman. The relaxation method finding the common point of convex sets and its application to the solutions of problems in convex programming. In USSR Comp. of Mathematics and Mathematical Physics, volume 7, pages 200-217, 1967.
3. T. M. Cover and J. A. Thomas. Elements of information theory. Wiley Series in Telecommunications, 1991.
4. A. Deshpande, C. Guestrin, S. Madden, J. Hellerstein, and W. Hong. Model-based approximate querying in sensor networks. In International Journal of Very Large Data Bases, 2005.
5. I. Dhillon, S. Mallela, and R. Kumar. A divisive information-theoretic feature clustering algorithm for text classification. In Journal of Machine Learning Research, volume 3, pages 1265-1287, 2003.
6. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. John Wiley and Sons, Inc., 2001.
7. J. Ha, H. Ramadan, J. Davis, C. Rossbach, I. Roy, and E. Witchel. Navel: Automating software support by classifying program behavior. Technical Report TR-06-11, University of Texas at Austin, 2006.
8. S. Madden. Intel lab data. http://berkeley.intel-research.net/labdata, 2004.
9. T. Myrvoll and F. Soong. On divergence based clustering of normal distributions and its application to HMM adaptation. In Eurospeech, pages 1517-1520, 2003.
10. Y. Singer and M. Warmuth. Batch and on-line parameter estimation of Gaussian mixtures based on the joint entropy. In Neural Information Processing Systems, 1998.
11. T. Yoshimura, T. Masuko, K. Tokuda, T. Kobayashi, and T. Kitamura. Speaker interpolation in HMM-based speech synthesis. In European Conference on Speech Communication and Technology, 1997.
12. A. Zheng, M. Jordan, B. Liblit, and A. Aiken. Statistical debugging of sampled programs. In Neural Information Processing Systems, 2004.