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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  1 month and 22 days ago 32 main
conda 601.5 kB | osx-64/r-dtw-1.23_2-r45h8eed41d_0.conda  1 month and 22 days ago 31 main
conda 602.1 kB | linux-64/r-dtw-1.23_2-r44h54b55ab_0.conda  1 month and 22 days ago 232 main
conda 602.4 kB | linux-64/r-dtw-1.23_2-r45h54b55ab_0.conda  1 month and 22 days ago 194 main

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