Simultaneous variable weighting and determining the number of clusters—A weighted Gaussian means algorithm

Saptarshi Chakraborty and Swagatam Das

Statistics & Probability Letters, 2018, vol. 137, issue C, 148-156

Abstract: We propose a simple variable (feature) weight learning strategy for the Gaussian means algorithm which can automatically determine the number of clusters in a dataset as well. We investigate some important theoretical properties and convergence behavior of the proposed algorithm.

Keywords: k-means clustering; Number of clusters; Variable weighting; G-means clustering (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:137:y:2018:i:c:p:148-156

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DOI: 10.1016/j.spl.2018.01.015

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