# scipy.cluster.hierarchy.ward¶

scipy.cluster.hierarchy.ward(y)[source]

Performs Ward’s linkage on a condensed distance matrix.

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

The following are common calling conventions:

1. Z = ward(y) Performs Ward’s linkage on the condensed distance matrix y.
2. Z = ward(X) Performs Ward’s linkage on the observation matrix X using Euclidean distance as the distance metric.
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. Z : ndarray The hierarchical clustering encoded as a linkage matrix. See linkage for more information on the return structure and algorithm.

linkage
scipy.spatial.distance.pdist