Abstract
We discuss Bregman divergences and the very close relationship between a class of these divergences and the regular family of exponential distributions before applying them to various topology preserving dimension reducing algorithms. We apply these to multidimensional scaling (MDS) and show the effect of different Bregman divergences. In particular we derive a mapping similar to the Sammon mapping. We apply these methods to face identification. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Lai, P. L., & Fyfe, C. (2009). Bregman divergences and multi-dimensional scaling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5507 LNCS, pp. 935–942). https://doi.org/10.1007/978-3-642-03040-6_114
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