A support vector method for clustering

Advances in Neural Information Processing Systems

Volumn , Issue , 2001, Pages

  Ben Hur, Asa ^a   Horn, David ^b   Siegelmann, Hava T ^a   Vapnik, Vladimir ^c  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^b TEL AVIV UNIVERSITY   (Israel)

^c AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; PROBABILITY DISTRIBUTIONS;

CLOSED CONTOURS; CLUSTER BOUNDARIES; GAUSSIAN KERNELS; GEOMETRICAL SHAPES; HIGH-DIMENSIONAL FEATURE SPACE; SUPPORT VECTOR; SUPPORT VECTOR METHOD; TWO PARAMETER;

SUPPORT VECTOR MACHINES;

EID: 84899014502     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. A.K. Jain and R.C. Dubes. Algorithms for clustering data. Prentice Hall, Englewood Cliffs, NJ, 1988.
2. K. Fukunaga. Introduction to Statistical Pattern Recognition. Academic Press, San Diego, CA, 1990.
3. V. Vapnik. The Nature of Statistical Learning Theory. Springer, N.Y., 1995.
4. B. Schölkopf, R.C. Williamson, A.J. Smola, and J. Shawe-Taylor. SV estimation of a distribution's support. In Neural Information Processing Systems, 2000.
5. D.M.J. Tax and R.P.W. Duin. Support vector domain description. Pattern Recognition Letters, 20:1991-1999, 1999.
6. A. Ben-Hur, D. Horn, H.T. Siegelmann, and V. Vapnik. A support vector clustering method. In International Conference on Pattern Recognition, 2000.
7. S.J. Roberts. Non-parametric unsupervised cluster analysis. Pattern Recognition, 30(2):261-272, 1997.
8. R. Fletcher. Practical Methods of Optimization. Wiley-Interscience, Chichester, 1987.
9. R.A. Fisher. The use of multiple measurements in taxonomie problems. Annual Eugenics, 7:179-188, 1936.
10. C.L. Blake and C.J. Merz. UCI repository of machine learning databases, 1998.
11. N. Tishby and N. Slonim. Data clustering by Markovian relaxation and the information bottleneck method. In Neural Information Processing Systems, 2000.
12. M. Blatt, S. Wiseman, and E. Domany. Data clustering using a model granular magnet. Neural Computation, 9:1804-1842, 1997.
13. S. Dubnov, R. El-Yaniv, Y. Gdalyahu, E. Schneidman, N. Tishby, and G. Yona. A new nonparametric pairwise clustering algorithm. Submitted to Machine Learning.
14. J. Platt. Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 185-208, Cambridge, MA, 1999. MIT Press.