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Hierarchical Agglomerative Clustering in Python.

This implementation implements a range of distance metrics and clustering methods, like single-linkage clustering, group-average clustering and Ward or minimum variance clustering.

The most interesting aspect of this implementation is that it provides functionality to perform Variability-based Neighbor Clustering (e.g. Gries & Hilpert 2006). This is a method of clustering in which the order of allowed clusters is predetermined.

Dependencies

  • numpy
  • scipy (optional)
  • matplotlib (optional)

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