Time series classification via topological data analysis

In this paper, we develop topological data analysis methods for classification tasks on univariate time series. As an application, we perform binary and ternary classification tasks on two public datasets that consist of physiological signals collected under stress and non-stress conditions. We acco...

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Veröffentlicht in:	Expert systems with applications Jg. 183; S. 115326
Hauptverfasser:	Karan, Alperen, Kaygun, Atabey
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 30.11.2021 Elsevier BV
Schlagworte:	Classification Data analysis Homology Machine learning Persistent homology Stress recognition Time delay embedding Time lag Time series Topology Persistent homology Time delay embedding Machine learning Stress recognition
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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