software . 2020

wannesm/dtaidistance v2.0.0

Wannes Meert; Kilian Hendrickx; Toon Van Craenendonck;
Open Access
  • Published: 12 Aug 2020
  • Publisher: Zenodo
Abstract
New in v2: Numpy is now an optional dependency, also to compile the C library (only Cython is required). Small optimizations throughout the C code to improve speed. The consistent use of size_t instead of int allows for larger data structures on 64 bit machines and be more compatible with Numpy. The parallelization is now implemented directly in C (included if OpenMP is installed). The max_dist argument turned out to be similar to Silva and Batista's work on PrunedDTW [7]. The toolbox now implements a version that is equal to PrunedDTW since it prunes more partial distances. Additionally, a use_pruning argument is added to automatically set max_dist to the Euclidean distance, as suggested by Silva and Batista, to speed up the computation (a new method ub_euclidean is available). Support in the C library for multi-dimensional sequences in the dtaidistance.dtw_ndim package.
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ZENODO
Software . 2020
Providers: ZENODO
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