The unordered time series fuzzy clustering algorithm based on the adaptive incremental learning

The data of time series are massive in quantity and not conducive to subsequent processing. Therefore, the unordered time series fuzzy clustering algorithm of adaptive incremental learning has been utilized to explore the segmentation of time series in further. The research results show that the eme...

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Bibliographic Details
Published inJournal of intelligent & fuzzy systems Vol. 38; no. 4; pp. 3783 - 3791
Main Authors Xu, Huanchun, Hou, Rui, Fan, Jinfeng, Zhou, Liang, Yue, Hongxuan, Wang, Liusheng, Liu, Jiayue
Format Journal Article
LanguageEnglish
Published Amsterdam IOS Press BV 30.04.2020
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