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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Published in | Journal of intelligent & fuzzy systems Vol. 38; no. 4; pp. 3783 - 3791 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
IOS Press BV
30.04.2020
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Subjects | |
Online Access | Get full text |
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