Clustering Techniques-A Review

Abstract

This review paper comprises of the outlook on different methods which are used for clustering datasets. clustering is the way toward sorting out datasets into different groups whose objects are equable here and there or the other. A group is a mixture of datasets which are like one another and are different to the datasets having a place with different clusters. clustering includes utilizing of different algorithms like k-implies algorithm, BIRCH algorithm, CLIQUE algorithm, DBSCAN algorithms. This paper presents the review of these method. Clustering is an undirected data mining technique that identifies several hidden patterns in data without generating any specific hypothesis. The goal of clustering is to find similarities between objects and group them together.