DefinePK

Abstract

In this Technological era Clustering is inevitable. For any function arrangement of Data is a primary task. The collected Data has to be grouped based on their features, Clustering is a method of arranging same or similar attributes and that attributes which are closer to each other are also grouped together. Clustering is formed of three major process initializing Data is the principle process, Data sets are selected randomly and distance metrics are used. Iteration reduction is a great challenge as for clustering is concerned. Fuzzy c-means is applied with the intention of reducing iteration. This Fuzzy c-means permits one data to function in two sets. When iteration is reduced clustering will be more effective. This paper deals with intervention of Fuzzy c-means algorithm in a specified Data set which thereby is to reduce iteration to make the function flaw less and reliable.