A hybrid approach to speed-up the k-means clustering method

Abstract

k-means clustering method is an iterative partition-based method which for finite data-sets converges to a solution in a finite time. The running time of this method grows linearly with respect to the size of the data-set. Many variants have been proposed to speed-up the conventional k-means clustering method. In this paper, we propose a prototype-based… (More)
DOI: 10.1007/s13042-012-0079-7

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Cite this paper

@article{Sarma2013AHA, title={A hybrid approach to speed-up the k-means clustering method}, author={T. Hitendra Sarma and P. Viswanath and B. Eswara Reddy}, journal={Int. J. Machine Learning & Cybernetics}, year={2013}, volume={4}, pages={107-117} }