COMPARATIVE STUDY ON CLUSTERING ALGORITHMS AS FUZZY C-MEANS AND K-MEANS

Software Engineering is a set of problem solving skills, instructions, methods and algorithms are applied on many problem having domain to identify and create useful systems. The created systems are applied on many practical problems to solve it. While creating such kind of systems we need bulk of data managing those data is the most important in Software Engineering. For that many algorithms are there to cluster the data and manage it. Here we have compared two clustering algorithms such as K-Means and Fuzzy-C Means which is used in Software Engineering.