A Review on Clustering Algorithms

ABSTRACT :

Data mining is an automatic data analysis method to uncover the previously undetected relationship, meaningful patterns and the rules among data items. This technique generally performs the analysis over the large volume of data stored in database, data warehouse and various information repositories. Data mining is the part of the Knowledge Discovery process. Clustering is an important technique to classify the unlabeled data. The data in the same cluster are more similar to each other and then to those in other cluster. In this clustering technique grouping of data became very complex task due to the availability of more number of features and the clustering accuracy gets degraded. In the field of data mining feature selection plays a vital role to select the most relevant features. This research article gives overview on clustering algorithms and it is very useful to the budding researchers in the respective field.

Author Name : Dr. J. Charles Selvaraj & Dr. V. Arul Kumar

Keywords: Data Mining, Clustering, Feature Selection, Various statistical measures, Clustering Algorithm.