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A Contextual Investigation for Variation in Weather Parameter for Coimbatore District

Publication Type : Journal Article

Publisher : Procedia Computer Science

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Year : 2015

Abstract : Weather parameters are critical parameter which is to be considered for understanding atmospheric variation. The aim of this paper is to see how the parameter values fluctuates for three decades. Three decade information is isolated into two and K-means machine learning calculation is utilized for bunching the divided data. Then how the information focuses are conveyed around the centroid of every sectioned data group is confirmed. At long last the group for initial one and half decade is compared with the second one and half decade to know how the information focuses are strayed in dynamic year. This gathering is validated with silhouette value.

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