https://scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html#sklearn.cluster.AgglomerativeClustering

University of Michigan - Ann Arbor

```Python
# imports
from sklearn.cluster import AgglomerativeClustering
import numpy as np

#create 100 samples with 10 features
X = np.random.rand(100,10)

# create model, then fit the data to the model, then generate clustering predictions
clustering = AgglomerativeClustering().fit_predict(X)

# show cluster labels for each sample
clustering
```


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