Skip to content

Latest commit

 

History

History
10 lines (7 loc) · 554 Bytes

README.md

File metadata and controls

10 lines (7 loc) · 554 Bytes

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)