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A Method for Estimating the Least Number of Objects in Fuzzy Clusters

A Method for Estimating the Least Number of Objects in Fuzzy Clusters AbstractThe theoretical note deals with the problem of estimation of the value of the least number of objects in fuzzy clusters for following detection of the optimal number of objects in fuzzy clusters through heuristic possibilistic clustering. A technique for detecting the optimal maximal number of elements in the a priori unknown number of fuzzy clusters of the sought clustering structure is reminded and a procedure for finding the initial minimal value of the number of objects in fuzzy clusters is proposed. Numerical examples are considered and conclusions are formulated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Electronics and Telecommunications de Gruyter

A Method for Estimating the Least Number of Objects in Fuzzy Clusters

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References (13)

Publisher
de Gruyter
Copyright
© by Dmitri A. Viattchenin
ISSN
2300-1933
eISSN
2300-1933
DOI
10.1515/eletel-2017-0046
Publisher site
See Article on Publisher Site

Abstract

AbstractThe theoretical note deals with the problem of estimation of the value of the least number of objects in fuzzy clusters for following detection of the optimal number of objects in fuzzy clusters through heuristic possibilistic clustering. A technique for detecting the optimal maximal number of elements in the a priori unknown number of fuzzy clusters of the sought clustering structure is reminded and a procedure for finding the initial minimal value of the number of objects in fuzzy clusters is proposed. Numerical examples are considered and conclusions are formulated.

Journal

International Journal of Electronics and Telecommunicationsde Gruyter

Published: Nov 27, 2017

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