Asian Journal of Microbiology, Biotechnology & Environmental Sciences Paper

Vol 20, Issue 2, 2018; Page No.(566-568)

IDENTIFYING EFFICIENT CLUSTERING TECHNIQUES FOR CLASSIFYING RAINFALL DATA

S. SWAMINATHAN AND S. MEGANATHAN

Abstract

Data Analytics includes various techniques to explore a large volume of data. Clustering is one such technique that has various methods like K-means, EM, hierarchical etc., our aim is to identify one of the best methods to cluster rainfall data. The results of various methods were explored and based on accuracy, speed of analysis the best suited method was employed on rainfall data of a Than javur region for 100 years. K means method was faster (0.02 secs) than EM method (1.18 secs). EM method gave 3 clusters and K means yielded only 2 clusters hence EM method is accurate than K Means.

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