# scipy.cluster.hierarchy.centroid¶

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

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

The following are common calling conventions:

1. Z = centroid(y)

Performs centroid/UPGMC linkage on the condensed distance matrix y.

2. Z = centroid(X)

Performs centroid/UPGMC 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 A linkage matrix containing the hierarchical clustering. See the linkage function documentation for more information on its structure.

linkage