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Agglomerative Clustering Dendrogram Example "distances_" attribute error

See original GitHub issue

Description

I tried to run the plot dendrogram example as shown in https://scikit-learn.org/dev/auto_examples/cluster/plot_agglomerative_dendrogram.html

Steps/Code to Reproduce

Code is available in the link in the description

Expected Results

Expected results are also documented in the

Actual Results

Traceback (most recent call last):
  File "test_agglomerative.py", line 40, in <module>
    plot_dendrogram(model, truncate_mode='level', p=3)
  File "test_agglomerative.py", line 24, in plot_dendrogram
    linkage_matrix = np.column_stack([model.children_, model.distances_,
AttributeError: 'AgglomerativeClustering' object has no attribute 'distances_'

Checking the documentation, it seems that the AgglomerativeClustering object does not have the “distances_” attribute https://scikit-learn.org/dev/modules/generated/sklearn.cluster.AgglomerativeClustering.html#sklearn.cluster.AgglomerativeClustering.

Versions

Version : 0.21.3 Build: pypi_0 Channel: pypi

Issue Analytics

State:
Created 4 years ago
Comments:6 (2 by maintainers)

Top GitHub Comments

4reactions

jnothmancommented, Dec 12, 2019

Please upgrade scikit-learn to version 0.22

1reaction

libbyhcommented, Mar 15, 2020

Me either. scikit-learn-0.22.1

I was able to get it to work using a distance matrix:

Error:

cluster = AgglomerativeClustering(n_clusters = 10, affinity = "cosine", linkage = "average")  
cluster.fit(similarity)

Works:

cluster_dist = AgglomerativeClustering(distance_threshold=0, n_clusters=None)
cluster_dist.fit(distance)

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