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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
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https://hal.inria.fr/hal-00917515
Contributor : Yves Lechevallier Connect in order to contact the contributor
Submitted on : Wednesday, December 11, 2013 - 11:03:27 PM
Last modification on : Thursday, February 3, 2022 - 11:13:54 AM

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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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