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Module « scipy.cluster.hierarchy »

Fonction correspond - module scipy.cluster.hierarchy

Signature de la fonction correspond

def correspond(Z, Y) 

Description

help(scipy.cluster.hierarchy.correspond)

Check for correspondence between linkage and condensed distance matrices.

They must have the same number of original observations for
the check to succeed.

This function is useful as a sanity check in algorithms that make
extensive use of linkage and distance matrices that must
correspond to the same set of original observations.

Parameters
----------
Z : array_like
    The linkage matrix to check for correspondence.
Y : array_like
    The condensed distance matrix to check for correspondence.

Returns
-------
b : bool
    A boolean indicating whether the linkage matrix and distance
    matrix could possibly correspond to one another.

See Also
--------
linkage : for a description of what a linkage matrix is.

Examples
--------
>>> from scipy.cluster.hierarchy import ward, correspond
>>> from scipy.spatial.distance import pdist

This method can be used to check if a given linkage matrix ``Z`` has been
obtained from the application of a cluster method over a dataset ``X``:

>>> X = [[0, 0], [0, 1], [1, 0],
...      [0, 4], [0, 3], [1, 4],
...      [4, 0], [3, 0], [4, 1],
...      [4, 4], [3, 4], [4, 3]]
>>> X_condensed = pdist(X)
>>> Z = ward(X_condensed)

Here, we can compare ``Z`` and ``X`` (in condensed form):

>>> correspond(Z, X_condensed)
True

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