A Survey on K-mean Clustering and its Basic principle

Abstract

Clustering plays a vital role in the fields of data mining. As K- means Clustering is an innovative method for grouping the data set or the data objects that are having similar properties. In Data Mining, Clustering is an important research topic and wide range of unsupervised classification application. Clustering is technique which divides a data into meaningful groups as sets and sub sets. K- mean is one of the popular clustering algorithms. K-mean clustering is widely used to minimize squared distance between features values of two points reside in the same cluster. This K- means clustering algorithm has excellent skill to reduce the computational load without significantly affecting the solution quality. This research paper focuses the survey of K-Means Clustering approach.