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A comprehensive implementation of dynamic time warping (DTW) algorithms in R. DTW computes the optimal (least cumulative distance) alignment between points of two time series. Common DTW variants covered include local (slope) and global (window) constraints, subsequence matches, arbitrary distance definitions, normalizations, minimum variance matching, and so on. Provides cumulative distances, alignments, specialized plot styles, etc.

copied from cf-post-staging / r-dtw
Type Size Name Uploaded Downloads Labels
conda 601.1 kB | osx-64/r-dtw-1.23_2-r44h8eed41d_0.conda  17 hours and 51 minutes ago 18 main
conda 601.5 kB | osx-64/r-dtw-1.23_2-r45h8eed41d_0.conda  17 hours and 52 minutes ago 16 main
conda 602.1 kB | linux-64/r-dtw-1.23_2-r44h54b55ab_0.conda  17 hours and 52 minutes ago 24 main
conda 602.4 kB | linux-64/r-dtw-1.23_2-r45h54b55ab_0.conda  17 hours and 53 minutes ago 23 main

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