Survey On Supervised Attribute Clustering And Gene Clustering Techniques In Data Mining

Abstract: In this paper focuses on supervised attribute clustering and gene clustering technique in data mining. Clustering is an important task of explorative data mining. Clustering is the process of grouping a set of objects into groups of similar objects. A good clustering method will produce high quality clusters in which intra class similarity is high and interclass similarity is low. Introduce the concepts of microarray technology and discuss the basic elements of clustering on gene expression data. This paper gives a brief introduction to clustering and various techniques have been discussed and a detailed study has been performed. The comparison table shows it clearly that a technique satisfies the clustering requirement.

Keywords: Clustering, Attribute Clustering Algorithm, Comparison of techniques, microarray technology, gene expression data