from scipy.cluster.hierarchy import dendrogram, linkage
from sklearn.cluster import AgglomerativeClustering
from scipy.cluster.hierarchy import fcluster

#create distance matrix
linkage_data = linkage(data, method = 'ward', metric = 'euclidean', optimal_ordering = True)

#view dendrogram
dendrogram(linkage_data)
plt.title('Hierarchical Clustering Dendrogram') 
plt.xlabel('Data point') 
plt.ylabel('Distance') 
plt.show()

#assign depth and clusters
clusters = fcluster(linkage_data, 2.5, criterion = 'inconsistent', depth = 5)