Time Series Clustering with Topological and Geometric Mixed Distance

Time Series Clustering with Topological and Geometric Mixed Distance

Time series clustering is an essential ingredient of unsupervised learning techniques. It provides an understanding of the intrinsic properties of data upon exploiting similarity measures. Traditional similarity-based methods usually consider local geometric properties of raw time series or the glob...

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Bibliographic Details
Main Authors: Yunsheng Zhang, Qingzhang Shi, Jiawei Zhu, Jian Peng, Haifeng Li
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Mathematics
Subjects:
time series clustering
similarity measurement
topological data analysis
Online Access:https://www.mdpi.com/2227-7390/9/9/1046

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