Journal of Theoretical and Applied Information Technology
Cluster analysis is important technique to find the similar and dissimilar group in data mining. From two decade of data mining process, most of technique extracts irrelevant knowledge to domain. This is the main aim of this paper. This paper proposes a new centroid based clustering algorithm. And also this paper includes some additional intelligence or measures with clustering process. This measure supported to find the relationship between data objects and clusters apart from distances. This algorithm tests with some synthetic datasets. Experimental results shows domain related clusters and needs to test with real time datasets.