Bregman divergences and the self organising map

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5326 LNCS, Issue , 2008, Pages 452-458

  Jang, Eunsong ^a   Fyfe, Colin ^b   Ko, Hanseok ^a  

^a Korea University   (South Korea)

^b UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MAGNETIC RESONANCE IMAGING; SELF ORGANIZING MAPS;

BREGMAN DIVERGENCES; DIFFERENT STRUCTURE; EXPONENTIAL DISTRIBUTIONS; IDENTIFICATION OF STRUCTURES; REDUCING ALGORITHMS; TOPOLOGY PRESERVING;

MAGNETIC RESONANCE;

EID: 58049101106     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88906-9_57     Document Type: Conference Paper

References (7)

1. Azoury, K.S., Warmouth, M.K.: Relative loss bounds for on-line density estimation with the exponential family of distributions. Machine Learning (43), 211-246 (2001)
2. Banerjee, A., Meruga, S., Dhillon, I., Ghosh, J.: Clustering with bregman divergences. Journal of Machine Learning Research 6, 1705-1749 (2005)
3. Collins, M., Dasgupta, S., Shapire, R.E.: A generalization of principal component analysis to the exponential family. In: Nips14 (2002)
4. Kohonen, T.: Self-Organising Maps. Springer, Heidelberg (1995)
5. Lee, J.A., Verleysen, M.: Nonlinear Dimensionality Reduction. Springer, Heidelberg (2007)
6. Neilsen, F., Boissonnat, J.-D., Nock, R.: Bregman voronoi diagrams: Properties, algorithms and applications (submitted, 2007)
7. Neilsen, F., Boissonnat, J.-D., Nock, R.: On bregman voronoi diagrams. In: ACM- SIAM Symposium on Discrete Algorithms (SODA), pp. 746-755 (2007)