ANALISIS BOBOT INDIVIDUAL PADA FUZZY C-MEANS CLUSTERING

Abstract

Clustering is a grouping of several data into clusters (groups) of the same. In clustering, the data in the cluster have a high degree of similarity but have differences with the other cluster. Determine the center of the cluster in the fuzzy c-means clustering is important. Center of the cluster will continue to change until the fulfillment of the desired condition. By assigning weights to each individual sample data can set the center of the cluster so that all sample data can be entered into the appropriate cluster. Of the 5 trials, the greatest weight is given on the first try on the attributes of Mathematics of 0.4 so that the center of the cluster on these attributes have the greatest value compared to other attributes.