Reviewing the Techniques of Data Clustering

Abstract

Abstract— Data clustering is part of data mining. Data mining is the process extracting useful information, patterns and trends from collective of raw data. The raw data have hidden pattern and information that are useful to retrieve for needed application and studies. The clustering is the efficient technique of data mining which will cluster the similar and dissimilar type of data. The clustering techniques are of many types like density based, hierarchal clustering, partitional clustering, grid based and more on. In this paper, various techniques of clustering and their parameter have been reviewing.