Volume 10, Issue 2, October 2014, Pages 443–445
A. Elakkiya1, S. Ramkumar2, and M. Suganya3
1 Karpagam University, Coimbatore, Tamilnadu, India
2 Karpagam University, Coimbatore, Tamilnadu, India
3 Karpagam University, Coimbatore, Tamilnadu, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Clustering is an approach to find similar objects and group these similar objects. It is the powerful method for finding the similarity among objects. The group of objects is called cluster. The objective of the cluster is to find the structure of a dataset and it is very much close to the human way of thinking. The clustering algorithms are used to categorize the large number of data in to group or cluster. In this paper different clustering algorithms are analyzed and these fall into the different clustering methods. These clustering algorithms are partitioning the data set into several groups.
Author Keywords: clustering, clustering methods, clustering algorithms, density based method, grid based methods, hierarchical based methods and partitioning method.
A. Elakkiya1, S. Ramkumar2, and M. Suganya3
1 Karpagam University, Coimbatore, Tamilnadu, India
2 Karpagam University, Coimbatore, Tamilnadu, India
3 Karpagam University, Coimbatore, Tamilnadu, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Clustering is an approach to find similar objects and group these similar objects. It is the powerful method for finding the similarity among objects. The group of objects is called cluster. The objective of the cluster is to find the structure of a dataset and it is very much close to the human way of thinking. The clustering algorithms are used to categorize the large number of data in to group or cluster. In this paper different clustering algorithms are analyzed and these fall into the different clustering methods. These clustering algorithms are partitioning the data set into several groups.
Author Keywords: clustering, clustering methods, clustering algorithms, density based method, grid based methods, hierarchical based methods and partitioning method.
How to Cite this Article
A. Elakkiya, S. Ramkumar, and M. Suganya, “A SURVEY ON DIFFERENT CLUSTERING ALGORITHMS AND ITS TECHNIQUES,” International Journal of Innovation and Scientific Research, vol. 10, no. 2, pp. 443–445, October 2014.
