v2.3.10

• Improved compilation for M1/M2, and Py3.7
• Improved plotting warping paths
• Improved kmeans clustering for ndim

v2.3.5

• Improved visualisation (single axis, provide Figure)
• Fixed compilation with OpenMP for macos Monterey
• Unified arguments across different methods by @probberechts

v2.3.4

• Additional clustering techniques. E.g. DTW Barycenter Averaging for clustering, k-medoids.
• Subsequence search and local concurrences.
• Improved Windows compatibility.
• Anaconda release (by @m-rossi )
• Improved visualisations

v2.0.0

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.

v1.2.2

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v1.1.2

version

v1.0.1

Update README.md

v0.1.8

v0.1.8