I made a hierarchical clustering with scikit :
selected_model = AgglomerativeClustering(n_clusters=8) hierarchical_clustering8 = selected_model.fit_predict(answers)
This classification was done on the basis of 50 features and led me to 8 clusters.
How can I proceed to determine the importance of each feature in this classification ?
My goal is to determine the most important and least important features for each cluster, and to be able to explain each cluster.