Research Article
Estimation of Bounds of the Set of Potential Number of Fuzzy Clusters in a Sought Clustering Structure
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
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| Volume 6 - Issue 2 |
| Published: Nov 2016 |
| Authors: Dmitri A. Viattchenin, Aliaksandr Yaroma, Aliaksandr Damaratski |
10.5120/cae2016652089
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Dmitri A. Viattchenin, Aliaksandr Yaroma, Aliaksandr Damaratski . Estimation of Bounds of the Set of Potential Number of Fuzzy Clusters in a Sought Clustering Structure. Communications on Applied Electronics. 6, 2 (Nov 2016), 1-10. DOI=10.5120/cae2016652089
@article{ 10.5120/cae2016652089,
author = { Dmitri A. Viattchenin,Aliaksandr Yaroma,Aliaksandr Damaratski },
title = { Estimation of Bounds of the Set of Potential Number of Fuzzy Clusters in a Sought Clustering Structure },
journal = { Communications on Applied Electronics },
year = { 2016 },
volume = { 6 },
number = { 2 },
pages = { 1-10 },
doi = { 10.5120/cae2016652089 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Dmitri A. Viattchenin
%A Aliaksandr Yaroma
%A Aliaksandr Damaratski
%T Estimation of Bounds of the Set of Potential Number of Fuzzy Clusters in a Sought Clustering Structure%T
%J Communications on Applied Electronics
%V 6
%N 2
%P 1-10
%R 10.5120/cae2016652089
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, an approach to constructing the set of values of the most possible number of fuzzy clusters in a sought clustering structure is proposed. The proposed approach is based on heuristic possibilistic clustering and fuzzy numbers. For the purpose, fuzzy numbers are described and algorithms of the heuristic approach to possibilistic clustering are considered in brief. A procedure for constructing the set of values of the most possible number of fuzzy clusters is described for the object data set. An application of the proposed technique to the Anderson’s iris data set is provided and some concluding remarks are stated.
References
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