Research Article
Enhancement of fuzzy c-means clustering using EM algorithm
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 43 - Issue 13 |
| Published: April 2012 |
| Authors: Esh Narayan, Yogesh Birla, Gaurav Kumar Tak |
10.5120/6167-8572
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Esh Narayan, Yogesh Birla, Gaurav Kumar Tak . Enhancement of fuzzy c-means clustering using EM algorithm. International Journal of Computer Applications. 43, 13 (April 2012), 43-46. DOI=10.5120/6167-8572
@article{ 10.5120/6167-8572,
author = { Esh Narayan,Yogesh Birla,Gaurav Kumar Tak },
title = { Enhancement of fuzzy c-means clustering using EM algorithm },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 43 },
number = { 13 },
pages = { 43-46 },
doi = { 10.5120/6167-8572 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Esh Narayan
%A Yogesh Birla
%A Gaurav Kumar Tak
%T Enhancement of fuzzy c-means clustering using EM algorithm%T
%J International Journal of Computer Applications
%V 43
%N 13
%P 43-46
%R 10.5120/6167-8572
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In present time many clustering techniques are use the data mining. The clustering gives the best performance in all research proposals. We know that k_ means clustering is the best clustering techniques in the data mining, but some disadvantage of k_ means clustering. Although clustering algorithms can be classi?ed into two categories: hard clustering algorithms and fuzzy clustering algorithms and The Fuzzy-C-Means (FCM) clustering algorithm is also known as Soft K-Means so we have proposed new enhancement of C- means clustering. Proposed algorithms will be gave the best result in fuzzy C-means clustering algorithms. We use the mouse data set to test these performances in Matlab tools.
References
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