Proceedings of the Fuzzy System Symposium
37th Fuzzy System Symposium
Session ID : WD2-1
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proceeding
On Some Fuzzy Clustering Algorithms for Time Series Data
*Mizuki FujitaYuchi Kanzawa
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Abstract

k-Shape and DTW k-means are the representative hard clustering methods for time series data. In this report, some fuzzy clustering methods are proposed based on k-Shape and DTW k-means. The proposed methods are compared in terms of characteristics.

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© 2021 Japan Society for Fuzzy Theory and Intelligent Informatics
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