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An Analysis of Fuzzy Clustering Methods

by Virender Kumar Malhotra, Harleen Kaur, M. Afshar Alam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 19
Year of Publication: 2014
Authors: Virender Kumar Malhotra, Harleen Kaur, M. Afshar Alam
10.5120/16497-6578

Virender Kumar Malhotra, Harleen Kaur, M. Afshar Alam . An Analysis of Fuzzy Clustering Methods. International Journal of Computer Applications. 94, 19 ( May 2014), 9-12. DOI=10.5120/16497-6578

@article{ 10.5120/16497-6578,
author = { Virender Kumar Malhotra, Harleen Kaur, M. Afshar Alam },
title = { An Analysis of Fuzzy Clustering Methods },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 19 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number19/16497-6578/ },
doi = { 10.5120/16497-6578 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:18:03.286650+05:30
%A Virender Kumar Malhotra
%A Harleen Kaur
%A M. Afshar Alam
%T An Analysis of Fuzzy Clustering Methods
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 19
%P 9-12
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fuzzy logic is an organized and mathematical method of handling inherently imprecise concepts through the use of membership functions, which allows membership with a certain degree. It has found application in numerous problem domains. It has been used in the interval [0, 1] fuzzy clustering, in pattern recognition and in other domains. In this paper, we introduce fuzzy logic, fuzzy clustering and an application and benefits. A case analysis has been done for various clustering algorithms in Fuzzy Clustering. It has been proved that some of the defined and available algorithms have difficulties at the borders in handling the challenges posed in collection of natural data. An analysis of two fuzzy clustering algorithms namely fuzzy c-means and Gustafson Kessel Fuzzy clustering Algorithm has been analyzed

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Index Terms

Computer Science
Information Sciences

Keywords

Component Fuzzy clustering Algorithms Fuzzy C-means Gustafson Kessel fuzzy clustering algorithm

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