A novel distance measure for time series: Maximum shifting correlation distance

Gaoxia Jiang, Wenjian Wang, Wenkai Zhang

Published: 01 Jan 2019, Last Modified: 13 Nov 2024Pattern Recognit. Lett. 2019EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•The proposed MSCD can deal with the drifts in phase and amplitude.•MSCD has the linear time complexity about the series length owing to a distinct step.•Second distance enhances the similarity of samples within a cluster.•MSCD-2nd has top accuracy and efficiency in time series clustering and classification.
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