scipy.cluster.hierarchy)#
These functions cut hierarchical clusterings into flat clusterings or find the roots of the forest formed by a cut by providing the flat cluster ids of each observation.
These are routines for agglomerative clustering.
These routines compute statistics on hierarchies.
Routines for visualizing flat clusters.
These are data structures and routines for representing hierarchies as tree objects.
These are predicates for checking the validity of linkage and inconsistency matrices as well as for checking isomorphism of two flat cluster assignments.
Utility routines for plotting:
Utility classes:
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4