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A Fuzzy Graph-based Heuristic Algorithm of Possibilistic Clustering

by Dmitri A. Viattchenin, Evgeny Nikolaenya, Aliaksandr Damaratski
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 7
Year of Publication: 2015
Authors: Dmitri A. Viattchenin, Evgeny Nikolaenya, Aliaksandr Damaratski
10.5120/cae2015651989

Dmitri A. Viattchenin, Evgeny Nikolaenya, Aliaksandr Damaratski . A Fuzzy Graph-based Heuristic Algorithm of Possibilistic Clustering. Communications on Applied Electronics. 3, 7 ( December 2015), 13-23. DOI=10.5120/cae2015651989

@article{ 10.5120/cae2015651989,
author = { Dmitri A. Viattchenin, Evgeny Nikolaenya, Aliaksandr Damaratski },
title = { A Fuzzy Graph-based Heuristic Algorithm of Possibilistic Clustering },
journal = { Communications on Applied Electronics },
issue_date = { December 2015 },
volume = { 3 },
number = { 7 },
month = { December },
year = { 2015 },
issn = { 2394-4714 },
pages = { 13-23 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume3/number7/478-2015651989/ },
doi = { 10.5120/cae2015651989 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:43:40.641066+05:30
%A Dmitri A. Viattchenin
%A Evgeny Nikolaenya
%A Aliaksandr Damaratski
%T A Fuzzy Graph-based Heuristic Algorithm of Possibilistic Clustering
%J Communications on Applied Electronics
%@ 2394-4714
%V 3
%N 7
%P 13-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a heuristic algorithm of possibilistic clustering based on fuzzy graph decomposition is proposed. For the purpose, concepts of fuzzy graph and fuzzy tolerance relation are considered and basic definitions of the heuristic approach to possibilistic clustering are described. An application of the proposed algorithm to the Tamura’s portrait data set is provided and some concluding remarks are stated.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Graph Fuzzy Tolerance Heuristic Possibilistic Clustering Fuzzy Cluster Allotment Tolerance Threshold Typical Point.

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