A stochastic connectionist approach for global optimization with application to pattern clustering.

A stochastic connectionist approach for global optimization with application to pattern clustering. Research Abstract Details 

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A stochastic connectionist approach for global optimization with application to pattern clustering. Abstract Text:

G P Babu,N M Murty,S S Keerthi,

In this paper, a stochastic connectionist approach is proposed for solving function optimization problems with real-valued parameters. With the assumption of increased processing capability of a node in the connectionist network, we show how a broader class of problems can be solved. As the proposed approach is a stochastic search technique, it avoids getting stuck in local optima. Robustness of the approach is demonstrated on several multi-modal functions with different numbers of variables. Optimization of a well-known partitional clustering criterion, the squared-error criterion (SEC), is formulated as a function optimization problem and is solved using the proposed approach. This approach is used to cluster selected data sets and the results obtained are compared with that of the K-means algorithm and a simulated annealing (SA) approach. The amenability of the connectionist approach to parallelization enables effective use of parallel hardware.

A stochastic connectionist approach for global optimization with application to pattern clustering. Publishing Authors By Initials

GP Babu,NM Murty,SS Keerthi,

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A stochastic connectionist approach for global optimization with application to pattern clustering. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on systems, man, and cybernetics

VOLUME: 30

Page Numbers: 10-24

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ISSN: 1083-4419

DAY: 4

MONTH: 02

YEAR: 2000

A stochastic connectionist approach for global optimization with application to pattern clustering. Information

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LANGUAGE: eng

NlmUniqueID: 9890044

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Grant and Affiliation Information for A stochastic connectionist approach for global optimization with application to pattern clustering.

AFFILIATION: Technol. Deployment Int. Inc., Santa Clara, CA.

Country: United States

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MEDLINETA: IEEE Trans Syst Man Cybern B C

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