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