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wannesm/dtaidistance v2.0.0

Wannes Meert; Kilian Hendrickx; Toon Van Craenendonck

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Wannes Meert</dc:creator>
  <dc:creator>Kilian Hendrickx</dc:creator>
  <dc:creator>Toon Van Craenendonck</dc:creator>
  <dc:description>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.
  <dc:title>wannesm/dtaidistance v2.0.0</dc:title>
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