Machine learning of time series data using persistent homology

Abstract This study proposes a novel method for time-series analysis based on persistent homology. Traditional time-series analysis techniques based on persistent homology often involve high computational costs. To address this challenge, we introduce the use of recurrence plots. In our approach, re...

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Bibliographic Details
Main Author: Takashi Ichinomiya
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-06551-3
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