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v0.9.2
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@l-kotzur l-kotzur released this 15 May 10:22
· 391 commits to master since this release
v0.9.2
8cb77d9

First public release

Features:

  • different aggregation methods implemented (averaging, k-mean, exact k-medoid, hierarchical), which are based on scikit-learn or pyomo
  • flexible integration of extreme periods as own cluster centers
  • weighting for the case of multidimensional time-series to represent their relevance
Assets 2