scipy.cluster.hierarchy.

num_obs_linkage#

scipy.cluster.hierarchy.num_obs_linkage(Z)[source]#

Return the number of original observations of the linkage matrix passed.

Parameters:
Zndarray

The linkage matrix on which to perform the operation.

Returns:
nint

The number of original observations in the linkage.

Examples

>>> from scipy.cluster.hierarchy import ward, num_obs_linkage
>>> from scipy.spatial.distance import pdist
>>> 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]]
>>> Z = ward(pdist(X))

Z is a linkage matrix obtained after using the Ward clustering method with X, a dataset with 12 data points.

>>> num_obs_linkage(Z)
12