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 withX
, a dataset with 12 data points.>>> num_obs_linkage(Z) 12