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hierarchical clustering python

Innocent Iguana answered on December 24, 2023 Popularity 7/10 Helpfulness 6/10

answer hierarchical clustering python

hierarchical clustering python

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import matplotlib.pyplot as plt
from scipy.cluster.hierarchy import linkage, dendrogram
sample = df.drop("target", axis=1)
mergings = linkage(sample.values, method='complete')
# Visualize
dendrogram(mergings, labels=df["target].values, leaf_rotation=90, leaf_font_size=6)
plt.show()
from scipy.cluster.hierarchy import fcluster
# Take only specified portion of cluster based on distance
labels = fcluster(mergings, 15, criterion='distance')
print(labels)
df['predicted_labels'] = labels
# See distribution of samples 
ct = pd.crosstab(df['predicted_labels'], df['target'])
print(ct)

Popularity 7/10 Helpfulness 6/10 Language python

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Tags: hierarchical-clustering python

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Contributed on Dec 24 2023

Innocent Iguana

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