Principal curves: Learning and convergence

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 1998, Pages 387-

  Kegl, B ^a   Krzyzak, A ^a   Linder, T ^b   Zeger, K ^c  

^a Gina Cody School of Engineering and Computer Science   (Canada)

^b QUEEN S UNIVERSITY   (Canada)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA CLOUDS; NEW APPROACHES; PRINCIPAL CURVE; SMOOTH CURVES; SQUARED DISTANCES; TRAINING DATA;

PROBABILITY DISTRIBUTIONS;

INFORMATION THEORY;

EID: 84890342562     PISSN: 21578095     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.1998.708992     Document Type: Conference Paper

References (2)

1. T. Hastie and W. Stuetzle, "Principal curves," Journal of the American Statistical Association, vol. 84, no. 406, pp. 502-516, 1989.
2. B. Kgl, A. Krzyzak, T. Linder, and K. Zeger, "Learning and design of principal curves" preprint, 1997. (Java implementation: http://www. cs. concordia. ca/~grad/kegl/pcurvedemo. html)