Efficient Time Series Clustering by Minimizing Dynamic Time Warping Utilization

Efficient Time Series Clustering by Minimizing Dynamic Time Warping Utilization

Dynamic Time Warping (DTW) is a widely used distance measurement in time series clustering. DTW distance is invariant to time series phase perturbations but has a quadratic complexity. An effective acceleration method must reduce the DTW utilization ratio during time series clustering; for example,...

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Bibliographic Details
Main Authors: Borui Cai, Guangyan Huang, Najmeh Samadiani, Guanghui Li, Chi-Hung Chi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Time series
density-based clustering
dynamic time warping
L1-norm
Online Access:https://ieeexplore.ieee.org/document/9382996/

Internet

https://ieeexplore.ieee.org/document/9382996/

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