# 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