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Quantization based clustering: an iterative approach

Abstract : In this paper we propose a simple new algorithm to perform clustering, based on the Alter algorithm proposed in [5] but lowering signicantly the algorithmic complexity with respect to the number of clusters. An empirical study states the relevance of our iterative process and a confrontation on simulated multivariate and functional data shows the benets of our algorithm.
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https://hal.archives-ouvertes.fr/hal-02490120
Contributor : Thomas Laloe <>
Submitted on : Monday, February 24, 2020 - 9:21:31 PM
Last modification on : Monday, October 12, 2020 - 2:28:06 PM

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Thomas Laloë. Quantization based clustering: an iterative approach. 2020. ⟨hal-02490120⟩

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