Distance Metric Learning, with Application to Clustering with Side-Information

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

Volumn , Issue , 2002, Pages 505-512

  Xing, Eric P ^a   Ng, Andrew Y ^a   Jordan, Michael I ^a   Russell, Stuart ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

K-MEANS CLUSTERING;

CLUSTERINGS; CONVEX OPTIMIZATION PROBLEMS; DISTANCE METRIC LEARNING; DISTANCE METRICS; K-MEANS; LEARN+; LOCAL OPTIMA; METRIC LEARNING; PERFORMANCE; SIDE INFORMATION;

CONVEX OPTIMIZATION;

EID: 85133386144     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. C. Atkeson, A. Moore, and S. Schaal. Locally weighted learning. AI Review, 1996.
2. T. Cox and M. Cox. Multidimensional Scaling. Chapman & Hall, London, 1994.
3. C. Domeniconi and D. Gunopulos. Adaptive nearest neighbor classification using support vector machines. In Advances in Neural Information Processing Systems 14. MIT Press, 2002.
4. G. H. Golub and C. F. Van Loan. Matrix Computations. Johns Hopkins Univ. Press, 1996.
5. T. Hastie and R. Tibshirani. Discriminant adaptive nearest neighbor classification. IEEE Transactions on Pattern Analysis and Machine Learning, 18:607-616, 1996.
6. T.S. Jaakkola and D. Haussler. Exploiting generative models in discriminaive classifier. In Proc. of Tenth Conference on Advances in Neural Information Processing Systems, 1999.
7. I.T. Jolliffe. Principal Component Analysis. Springer-Verlag, New York, 1989.
8. R. Rockafellar. Convex Analysis. Princeton Univ. Press, 1970.
9. S.T. Roweis and L.K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science 290: 2323-2326.
10. B. Scholkopf and A. Smola. Learning with Kernels. In Press, 2001.
11. N. Tishby, F. Pereira, and W. Bialek. The information bottleneck method. In Proc. of the 37th Allerton Conference on Communication, Control and Computing, 1999.
12. K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl. Constrained k-means clustering with background knowledge. In Proc. 18th International Conference on Machine Learning, 2001.