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.
The linkage matrix to check for correspondence.
The condensed distance matrix to check for correspondence.
A boolean indicating whether the linkage matrix and distance matrix could possibly correspond to one another.
for a description of what a linkage matrix is.
>>> 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
Zhas been obtained from the application of a cluster method over a dataset
>>> 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
X(in condensed form):
>>> correspond(Z, X_condensed) True