leaves_list — SciPy v1.15.3 Manual (original) (raw)
scipy.cluster.hierarchy.
scipy.cluster.hierarchy.leaves_list(Z)[source]#
Return a list of leaf node ids.
The return corresponds to the observation vector index as it appears in the tree from left to right. Z is a linkage matrix.
Parameters:
Zndarray
The hierarchical clustering encoded as a matrix. Z is a linkage matrix. See linkage for more information.
Returns:
leaves_listndarray
The list of leaf node ids.
See also
for information about dendrogram structure.
Examples
from scipy.cluster.hierarchy import ward, dendrogram, leaves_list from scipy.spatial.distance import pdist from matplotlib import pyplot as plt
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]]
The linkage matrix Z represents a dendrogram, that is, a tree that encodes the structure of the clustering performed.scipy.cluster.hierarchy.leaves_list shows the mapping between indices in the X dataset and leaves in the dendrogram:
leaves_list(Z) array([ 2, 0, 1, 5, 3, 4, 8, 6, 7, 11, 9, 10], dtype=int32)
fig = plt.figure(figsize=(25, 10)) dn = dendrogram(Z) plt.show()
