CFP last date
20 December 2024
Reseach Article

Optimization of Fuzzy C Means Clustering using Genetic Algorithm for an Image

by Jyoti Tyagi, Neeta Verma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 17
Year of Publication: 2015
Authors: Jyoti Tyagi, Neeta Verma
10.5120/21634-4955

Jyoti Tyagi, Neeta Verma . Optimization of Fuzzy C Means Clustering using Genetic Algorithm for an Image. International Journal of Computer Applications. 121, 17 ( July 2015), 29-32. DOI=10.5120/21634-4955

@article{ 10.5120/21634-4955,
author = { Jyoti Tyagi, Neeta Verma },
title = { Optimization of Fuzzy C Means Clustering using Genetic Algorithm for an Image },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 17 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number17/21634-4955/ },
doi = { 10.5120/21634-4955 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:42.135347+05:30
%A Jyoti Tyagi
%A Neeta Verma
%T Optimization of Fuzzy C Means Clustering using Genetic Algorithm for an Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 17
%P 29-32
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fuzzy C-Means Clustering algorithm (FCM) is a method that is frequently used in pattern recognition. It has the advantage of giving good modeling results in many cases, This paper presents the optimization of cluster center of Fuzzy C-Means algorithm by evolutionary methods, this in order to automatically select the best of cluster center with maximum probability. Optimization methods used to realization of this paper were genetic algorithms and for selection method roulette wheel method is used.

References
  1. Adam Lipowski , Roulette-wheel selection via stochastic acceptance.
  2. Castillo O "Optimization of Fuzzy C-Means Algorithm using Evolutionary Methods,2010
  3. D. Goldberg, "Genetic Algorithms in Search, Optimization and Machine Learning", Addison Wesley, 1989.
  4. Dong-Chul Park "Intuitive Fuzzy C-Means Algorithm" IEEE conference 2009 PP – 83-87
  5. George J. Klir and Bo Yuan "Fuzzy Sets and Fuzzy Logic" Prentice-Hall India Publications-2005
  6. Khalid Jebari, Selection Methods for Genetic Algorithms , IJES ,2013. F
  7. M Alata "Using GA for Optimization of Fuzzy C- Means Clustering Algorithm. Research Journal of Applied Sciences ,(2013)
  8. Rajasekaran S Neural Network , Fuzzy Logic, and Genetic Algorithms book
  9. Rakesh Kumar "Blending Roulette Wheel Selection & Rank Selection in Genetic Algorithms" International journal of Machine Learning and Computing , 2012.
  10. R. Suganya " Fuzzy C- Means Algorithm- A Review , International Journal of Scientific and Research Publications , 2012.
  11. R. Kruse, C. Döring, M. J. Lesot; ?Fundamentals of Fuzzy Clustering?; In: Advances in Fuzzy Clustering and its Applications; John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England, 2007, Pages 3-30.
  12. Stelios Krinidis and Vassilios Chatzis " A Robust Fuzzy Local Information C-Means Clustering Algorithm" 2009 IEEE journal Transactions on Image Processing pp-01-11
  13. Soumi Ghosh " Comparative Analysis of K-Means and Fuzzy C-Means Algorithms"IJACSA,2013
  14. Venkateswaran R "Genetic Approach on Medical Segmentation by Generalized Spatial Fuzzy C-Means Algorithm"IEEE International Conference,(2010)
  15. Yang Y "Image Segmentation By Fuzzy C-Means Clustering Algorithm With a novel penalty term" , (2010)
Index Terms

Computer Science
Information Sciences

Keywords

Cluster center membership matrix objective function genetic algorithm optimization roulette wheel selection.