scipy.cluster.hierarchy

Hierarchical clustering (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.

.. autosummary:: 
    :toctree:generated/
    fcluster
    fclusterdata
    leaders

These are routines for agglomerative clustering.

.. autosummary:: 
    :toctree:generated/
    linkage
    single
    complete
    average
    weighted
    centroid
    median
    ward

These routines compute statistics on hierarchies.

.. autosummary:: 
    :toctree:generated/
    cophenet
    from_mlab_linkage
    inconsistent
    maxinconsts
    maxdists
    maxRstat
    to_mlab_linkage

Routines for visualizing flat clusters.

.. autosummary:: 
    :toctree:generated/
    dendrogram

These are data structures and routines for representing hierarchies as tree objects.

.. autosummary:: 
    :toctree:generated/
    ClusterNode
    leaves_list
    to_tree
    cut_tree
    optimal_leaf_ordering

These are predicates for checking the validity of linkage and inconsistency matrices as well as for checking isomorphism of two flat cluster assignments.

.. autosummary:: 
    :toctree:generated/
    is_valid_im
    is_valid_linkage
    is_isomorphic
    is_monotonic
    correspond
    num_obs_linkage

Utility routines for plotting:

.. autosummary:: 
    :toctree:generated/
    set_link_color_palette

Utility classes:

.. autosummary:: 
    :toctree:generated/
    DisjointSet -- data structure for incremental connectivity queries