Study of Clustering Techniques in the Data Mining Domain

Data mining is the search or the discovery of new information in the form of patterns from huge sets of data. The goal of data mining is to provide companies with valuable, hidden insights which are present in their large databases. Clustering is one such important technique that is used in data mining. It is the process of grouping similar data items into clusters and hence we can define a cluster as a group of items which are similar between them and dissimilar between items of another cluster. This paper is intended to examine and evaluate various data clustering methods and algorithms. The purpose of discussing the various algorithms is to make beginners and new researchers understand the working of clustering methods, which will help them to come up with new approaches for the improvement of these methods.