Adaptive Dynamic Clustering Algorithm for Interval-valued Data based on Squared-Wasserstein Distance

Rong Guan 1 Yves Lechevallier 2 Huiwen Wang 1
1 BUAA - School of Economics and Management [Beijing]
2 AxIS - Usage-centered design, analysis and improvement of information systems
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Paris-Rocquencourt
Abstract : Adaptive Dynamic Clustering Algorithm for Interval-valued Data based on Squared-Wasserstein Distance
Type de document :
Chapitre d'ouvrage
Rong Guan and Yves Lechevallier and Gilbert Saporta and Huiwen Wang. Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, RNTI E.25, Hermann, 2013, Revue des Nouvelles Technologies de l'Information, 9782705687335
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https://hal.inria.fr/hal-00917515
Contributeur : Yves Lechevallier <>
Soumis le : mercredi 11 décembre 2013 - 23:03:27
Dernière modification le : mardi 17 avril 2018 - 11:24:09

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  • HAL Id : hal-00917515, version 1

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Rong Guan, Yves Lechevallier, Huiwen Wang. Adaptive Dynamic Clustering Algorithm for Interval-valued Data based on Squared-Wasserstein Distance. Rong Guan and Yves Lechevallier and Gilbert Saporta and Huiwen Wang. Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, RNTI E.25, Hermann, 2013, Revue des Nouvelles Technologies de l'Information, 9782705687335. 〈hal-00917515〉

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