Deterministic annealing, clustering, and optimization

Deterministic annealing, clustering, and optimization

This work introduces the concept of deterministic annealing (DA) as a useful approach to clustering and other related optimization problems. It is strongly motivated by analogies to statistical physics, but is formally derived within information theory and probability theory. This approach enables e...

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Bibliographic Details
Main Author: Rose, Kenneth
Format: Others
Published: 1991
Online Access:https://thesis.library.caltech.edu/2858/1/Rose_k_1991.pdf
Rose, Kenneth (1991) Deterministic annealing, clustering, and optimization. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/8N1R-3G60. https://resolver.caltech.edu/CaltechETD:etd-07122007-085228 <https://resolver.caltech.edu/CaltechETD:etd-07122007-085228>

Internet

https://thesis.library.caltech.edu/2858/1/Rose_k_1991.pdf
Rose, Kenneth (1991) Deterministic annealing, clustering, and optimization. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/8N1R-3G60. https://resolver.caltech.edu/CaltechETD:etd-07122007-085228 <https://resolver.caltech.edu/CaltechETD:etd-07122007-085228>

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