Feature Selection in Mixture-Based Clustering

NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems

Volumn , Issue , 2002, Pages 625-632

  Law, Martin H ^a   Jain, Anil K ^b   Figueiredo, Mário A T ^b  

^a Michigan State University   (United States)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM PRINCIPLE;

BASED CLUSTERING; CLASS LABELS; CLUSTERINGS; DATA ATTRIBUTES; EXPECTATIONS MAXIMIZATION ALGORITHMS; FEATURE RELEVANCE; FEATURE SALIENCY; FEATURES SELECTION; GAUSSIAN-MIXTURES; MUTUAL INFORMATIONS;

FEATURE SELECTION;

EID: 78649943034     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. P. Bradley, U. Fayyad, and C. Reina. Clustering very large database using EM mixture models. In Proc. 15th Intern. Conf. on Pattern Recognition, pp. 76-80, 2000.
2. G. Celeux, S. Chrétien, F. Forbes, and A. Mkhadri. A component-wise EM algorithm for mixtures. Journal of Computational and Graphical Statistics, 10:699-712, 2001.
3. T. Cover and J. Thomas. Elements of Information Theory. John Wiley & Sons, 1991.
4. M. Dash and H. Liu. Feature selection for clustering. In Proc. of Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2000, pp. 110-121.
5. M. Devaney and A. Ram. Efficient feature selection in conceptual clustering. In Proc. ICML'1997, pp. 92-97, 1997.
6. J. Dy and C. Brodley. Feature subset selection and order identification for unsupervised learning. In Proc. ICML'2000, pp. 247-254, 2000.
7. E. Gokcay and J. Principe. Information Theoretic Clustering. IEEE Trans. on PAMI, 24(2):158-171, 2002.
8. P. Gustafson, P. Carbonetto, N. Thompson, and N. de Freitas. Bayesian feature weighting for unsupervised learning, with application to object recognition. In Proc. of the 9th Intern. Workshop on Artificial Intelligence and Statistics, 2003.
9. M. Figueiredo and A. Jain. Unsupervised learning of finite mixture models. IEEE Trans. on PAMI, 24(3):381-396, 2002.
10. A. K. Jain and R. C. Dubes. Algorithms for Clustering Data. Prentice Hall, 1988.
11. Y. Kim, W. Street, and F. Menczer. Feature Selection in Unsupervised Learning via Evolutionary Search. In Proc. ACM SIGKDD, pp. 365-369, 2000.
12. R. Kohavi and G. John. Wrappers for feature subset selection. Artificial Intelligence, 97(1-2):273-324, 1997.
13. D. Koller and M. Sahami. Toward optimal feature selection. In Proc. ICML'1996, pp. 284-292, 1996.
14. M. Law, M. Figueiredo, and A. Jain. Feature Saliency in Unsupervised Learning. Tech. Rep., Dept. Computer Science and Eng., Michigan State Univ., 2002. Available at http://www.cse.msu.edu/-lawhiu/papers/TR02.ps.gz.
15. G. McLachlan and K. Basford. Mixture Models: Inference and Application to Clustering. Marcel Dekker, New York, 1988.
16. P. Mitra and C. A. Murthy. Unsupervised feature selection using feature similarity. IEEE Trans. on PAMI, 24(3):301-312, 2002.
17. D. Modha and W. Scott-Spangler. Feature weighting in k-means clustering. Machine Learning, 2002. to appear.
18. S. Roberts, C. Holmes, and D. Denison. Minimum-entropy data partitioning using RJ-MCMC. IEEE Trans. on PAMI, 23(8):909-914, 2001.
19. L. Talavera. Dependency-based feature selection for clustering symbolic data. Intelligent Data Analysis, 4:19-28, 2000.
20. G. Trunk. A problem of dimensionality: A simple example. IEEE Trans. on PAMI, 1(3):306-307, 1979.
21. S. Vaithyanathan and B. Dom. Generalized model selection for unsupervised learning in high dimensions. In S. Solla, T. Leen, and K. Muller, eds, Proc. of NIPS'12. MIT Press, 2000.
22. E. Xing, M. Jordan, and R. Karp. Feature selection for high-dimensional genomic microarray data. In Proc. ICML'2001, pp. 601-608, 2001.
23. C. Wallace and P. Freeman. Estimation and inference via compact coding. Journal of the Royal Statistical Society (B), 49(3):241-252, 1987.
24. C.S. Wallace and D.L. Dowe. MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions. Statistics and Computing, 10:73-83, 2000.