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Deterministic annealing, constrained clustering, and optimization

Rose, K. and Gurewitz, E. and Fox, G. C. (1991) Deterministic annealing, constrained clustering, and optimization. In: [Proceedings] 1991 IEEE International Joint Conference on Neural Networks. Vol.3. IEEE , Piscataway, NJ, pp. 2515-2520. ISBN 0-7803-0227-3. https://resolver.caltech.edu/CaltechAUTHORS:20170619-173902662

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Abstract

In previous work the authors (Phys. Rev. Let., vol.65, p.945-8, 1990) proposed the concept of deterministic annealing for the problem of clustering and vector quantization. This approach is summarized. The authors extend the clustering method to the constraint clustering method. Adding constraints to the deterministic annealing mechanism expands the variety of optimization problems which can be solved by this method. A brief presentation of the clustering approach is given. Two examples to which the constraint clustering approach can be applied are included.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/IJCNN.1991.170767DOIArticle
http://ieeexplore.ieee.org/document/170767/PublisherArticle
Additional Information:© 1991 IEEE.
Record Number:CaltechAUTHORS:20170619-173902662
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170619-173902662
Official Citation:K. Rose, E. Gurewitz and G. C. Fox, "Deterministic annealing, constrained clustering, and optimization," [Proceedings] 1991 IEEE International Joint Conference on Neural Networks, 1991, pp. 2515-2520 vol.3. doi: 10.1109/IJCNN.1991.170767
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:78353
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:20 Jun 2017 15:12
Last Modified:15 Oct 2019 18:14

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