CFP last date
20 December 2024
Reseach Article

Enhancement of fuzzy c-means clustering using EM algorithm

by Esh Narayan, Yogesh Birla, Gaurav Kumar Tak
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 13
Year of Publication: 2012
Authors: Esh Narayan, Yogesh Birla, Gaurav Kumar Tak
10.5120/6167-8572

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 },
issue_date = { April 2012 },
volume = { 43 },
number = { 13 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 43-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number13/6167-8572/ },
doi = { 10.5120/6167-8572 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:21.601035+05:30
%A Esh Narayan
%A Yogesh Birla
%A Gaurav Kumar Tak
%T Enhancement of fuzzy c-means clustering using EM algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 13
%P 43-46
%D 2012
%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
  1. Ozyilmaz, L. ; Yildirim, T. ; , "Diagnosis of thyroid disease using artificial neural network methods," Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on , vol. 4, no. , pp. 2033- 2036 vol. 4, 18-22 Nov. 2002 doi: 10. 1109/ICONIP. 2002. 1199031
  2. Abdel-Azim, M. ; Abdel-Fatah, A. I. ; Awad, M. ; "Performance analysis of artificial neural network intrusion detection systems," Electrical and Electronics Engineering, 2009. ELECO 2009. International Conference on , vol. , no. , pp. II-385-II-389, 5-8 Nov. 2009
  3. PengShanguo; Wang Xiwu; ZhongQigen; , "The study of EM algorithm based on forward sampling," Electronics, Communications and Control (ICECC), 2011 International Conference on , vol. , no. , pp. 4597-4600, 9-11 Sept. 2011 doi: 10. 1109/ICECC. 2011. 6067693
  4. Fisher, D. ; Ling Xu; Carnes, J. R. ; Reich, Y. ; Fenves, J. ; Chen, J. ; Shiavi, R. ; Biswas, G. ; Weinberg, J. ; , "Applying AI clustering to engineering tasks," IEEE Expert , vol. 8, no. 6, pp. 51-60, Dec. 1993 doi: 10. 1109/64. 248353
  5. J. -S. R. Jang, C. -T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, p (426-427)Prentice Hall, 1997
  6. Maria Colmenares& Olaf WolkenHauer, "An Introduction into Fuzzy Clustering", http://www. csc. umist. ac. uk/computing/clustering. htm, July 1998, last update 03 July,2000
  7. http://home. dei. polimi. it/matteucc/Clustering/tutorial_html/cmeans. html
  8. www. ics. uci. edu/pub/ml-repos/machine-learning-database/, 2001
  9. Neal, Radford; Hinton, Geoffrey (1999). Michael I. Jordan. ed. "A view of the EM algorithm that justifies incremental, sparse, and other variants". Learning in Graphical Models (Cambridge, MA: MIT Press): 355–368.
  10. Jain, A. K. And Dubs, R. C. Algorithms for clustering data (N. J. & Cliffs; Prentice Hall) in 1999.
Index Terms

Computer Science
Information Sciences

Keywords

Feature Selection C-mean Clustering Em Algorithms Mouse Dataset Matlab Unsupervised Learning