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Module « scipy.cluster.hierarchy »

Fonction leaves_list - module scipy.cluster.hierarchy

Signature de la fonction leaves_list

def leaves_list(Z) 

Description

help(scipy.cluster.hierarchy.leaves_list)

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
----------
Z : ndarray
    The hierarchical clustering encoded as a matrix.  `Z` is
    a linkage matrix.  See `linkage` for more information.

Returns
-------
leaves_list : ndarray
    The list of leaf node ids.

See Also
--------
dendrogram : 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]]

>>> Z = ward(pdist(X))

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()

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