Publication Type:

Journal Article

Source:

Procedia Computer Science, Volume 58, p.507-515 (2015)

URL:

https://www.sciencedirect.com/science/article/pii/S1877050915021778

Keywords:

K-means, Machine learning, Silhouette value ;

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.

Cite this Research Publication

M. .Kokila, Dr. Geetha Srikanth, and .P.Soman, K., “A Contextual Investigation for Variation in Weather Parameter for Coimbatore District”, Procedia Computer Science, vol. 58, pp. 507-515, 2015.