A novel distance measure based on dynamic time warping to improve time series classification

DOI10.1016/j.ins.2023.119921OpenAlexW4388821808MaRDI QIDQ6179958

Yutao Liu, Ming Zeng, Yongan Zhang, Jie Zhao

Publication date: 18 January 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2023.119921

zbMATH Keywords

dynamic time warpingsimilarity measuretime series classificationone nearest neighbor classification

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Using dynamic time warping distances as features for improved time series classification
• Adaptively constrained dynamic time warping for time series classification and clustering
• A review on distance based time series classification
• Trimmed fuzzy clustering of financial time series based on dynamic time warping
• Dynamic programming algorithm optimization for spoken word recognition
• Algorithms for the Longest Common Subsequence Problem