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
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.