THE ANALYSIS AND REVIEW FOR HIERARCHICAL AGGLOMERATIVE CLUSTERING TECHNIQUES IN VARIOUS WSN APPLICATIONS

S.Aravindhan; Dr.D.Maruthanayagam

Article Information

Published In Volume 2, Issue 7 (2016)
Publication Date July 30, 2026
Manuscript ID IJCRCST-JULY16-04
Article Type Research Paper
Pages 880 - 885
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Abstract

Clustering is the process of grouping the data into classes or clusters, so that objects within a cluster have high similarity in comparison to one another but these objects are very dissimilar to the objects that are in other clusters. Clustering methods are mainly divided into two groups: hierarchical and partitioning methods. Agglomerative group will be a "bottom up" approach and each observation start in its own cluster, and pairs of clusters are merged as one move up the hierarchy. Divisive group will be a "top down" approach and all observations start in one cluster, and splits are performed recursively as one moves down the hierarchy. In this paper, analysis and review about hierarchical clustering which is mainly focus on hierarchical agglomerative clustering (HAC) technique. Then we also presents detail description of some hierarchical agglomerative clustering technique related previous research papers for understanding the importance of hierarchical clustering concepts in various research areas.

Keywords

Clustering Agglomerative Divisive WSN and Hierarchical Clustering

Authors

S.Aravindhan

Dr.D.Maruthanayagam

How to Cite this Article

S.Aravindhan, Dr.D.Maruthanayagam (2016). "THE ANALYSIS AND REVIEW FOR HIERARCHICAL AGGLOMERATIVE CLUSTERING TECHNIQUES IN VARIOUS WSN APPLICATIONS". International Journal of Contemporary Research in Computer Science and Technology, 2(7), pp. 880-885.