scipy.cluster.hierarchy.median

scipy.cluster.hierarchy.median(y)

Performs median/WPGMC linkage.

See linkage for more information on the return structure and algorithm.

The following are common calling conventions:

1. Z = median(y)

   Performs median/WPGMC linkage on the condensed distance matrix y. See linkage for more information on the return structure and algorithm.

2. Z = median(X)

   Performs median/WPGMC linkage on the observation matrix X using Euclidean distance as the distance metric. See linkage for more information on the return structure and algorithm.

Parameters:

y : ndarray

A condensed distance matrix. A condensed distance matrix is a flat array containing the upper triangular of the distance matrix. This is the form that pdist returns. Alternatively, a collection of m observation vectors in n dimensions may be passed as a m by n array.

Returns:

Z : ndarray

The hierarchical clustering encoded as a linkage matrix.

See also

linkage

for advanced creation of hierarchical clusterings.

scipy.spatial.distance.pdist

pairwise distance metrics