Beispiel hierarchisches Clustering
# Import linkage and fcluster functions
from scipy.cluster.hierarchy import linkage, fcluster
# Use the linkage() function to compute distance
Z = linkage(df, 'ward')
# Generate cluster labels
df['cluster_labels'] = fcluster(Z, 2, criterion='maxclust')
# Plot the points with seaborn
sns.scatterplot(x='x', y="y", hue="cluster_labels", data=df)
plt.show()
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