Improved FCM algorithm for Clustering the IRIS data

In this paper we present clustering method is very sensitive to the initial center values, requirements on the data set too high, and cannot handle noisy data the proposal method is using information entropy to initialize the cluster centers and introduce weighting parameters to adjust the location of cluster centers and noise problems. The improves clustering on web data efficiently using fuzzy c-means(FCM)clustering with iris data sets.