Fuzzy C Mean Clustering Combined Ant Colony Clustering Algorithm
LI Long-shu · Computer Technology and Development · 2012
Fuzzy C-means(FCM) clustering algorithm gets the initial clustering center by random selecting,which makes the FCM algorithm is easy to fall into local optimal solution of the dilemma,and the FCM clustering algorithm needs to set the number of clustering center by human constructing.It addresses the above problems with ant colony clustering to propose an advanced FCM clustering algorithm.The ant colony clustering creates the initial clustering center and the number of the center,the data uses to be the input for Fuzzy C-means clustering algorithm.Global search and parallel computing benefits avoid the clustering which is easy to fall into local optimal solution of the defects.After experimental verification,the simulation result shows the effectiveness of the method.