Adaptively constrained dynamic time warping for time series classification and clustering

DOI10.1016/j.ins.2020.04.009zbMath1465.62151OpenAlexW3024527458MaRDI QIDQ2023198

Zaili Yang, Ryan Wen Liu, Huan-Huan Li, Kefeng Wu, Yuan Wan, Jingxian Liu

Publication date: 3 May 2021

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

Full work available at URL: https://researchonline.ljmu.ac.uk/id/eprint/13159/3/Adaptively%20constrained%20dynamic%20time%20warping%20for%20time%20series%20classification%20and%20clustering.pdf

zbMATH Keywords

distance measuredynamic time warpingtime series classificationvessel trajectory clustering

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics in engineering and industry; control charts (62P30)

Related Items

Functional distributional clustering using spatio-temporal data, Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets, Time series classification by Euclidean distance-based visibility graph, A novel distance measure based on dynamic time warping to improve time series classification, On using dynamic programming for time warping in pattern recognition

Uses Software

• shapeDTW

Cites Work

• Adaptive cost dynamic time warping distance in time series analysis for classification
• CID: an efficient complexity-invariant distance for time series
• An approach to dimensionality reduction in time series
• Wavelet-based dynamic time warping
• Time series classification with ensembles of elastic distance measures
• Speeding up similarity search under dynamic time warping by pruning unpromising alignments
• Clustering of time series data -- a survey
• Dynamic programming algorithm optimization for spoken word recognition