An Ameliorated Partitioning Clustering Algorithm

Original K-medoid algorithm use to take initial medoids arbitrarily that bears on the resulting clusters and it leads to unstable and empty clusters which are no meaningful and also amount of iterations can be rather high so K-Medoid is not a substitute for big databases because of its computational...

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Bibliographic Details

Published in:	2014 International Conference on Computational Intelligence and Communication Networks pp. 520 - 524
Main Authors:	Chouhan, Raghavi, Chauhan, Abhishek
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2014
Subjects:	Accuracy Algorithm design and analysis centroids Classification algorithms clustering Clustering algorithms Data mining K medoid medoids Partitioning algorithms Prediction algorithms
Online Access:	Get full text
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