Interval-valued functional clustering based on the Wasserstein distance with application to stock data

DOI10.1016/j.ins.2022.05.112OpenAlexW4281606414MaRDI QIDQ6191176

Chonghui Zhang, Wen-cheng Li, Li-Jun Zhu, Tomas Baležentis, Lirong Sun

Publication date: 6 March 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2022.05.112

zbMATH Keywords

multivariate statisticsWasserstein distancefunctional entropy methodinterval-valued functional clusteringinterval-valued functional data

Mathematics Subject Classification ID

Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)

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