Improving the Initial Centroids of k-means Clustering Algorithm to Generalize its Applicability

k-means is one of the most widely used partition based clustering algorithm. But the initial centroids generated randomly by the k-means algorithm cause the algorithm to converge at the local optimum. So to make k-means algorithm globally optimum, the initial centroids must be selected carefully rat...

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Bibliographic Details

Published in:	Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Vol. 95; no. 4; pp. 345 - 350
Main Authors:	Goyal, M., Kumar, S.
Format:	Journal Article
Language:	English
Published:	India Springer India 01.12.2014
Subjects:	Communications Engineering Engineering Networks Original Contribution Partitional clustering algorithm Clustering Initial centroids k-means algorithm
ISSN:	2250-2106, 2250-2114
Online Access:	Get full text
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