#create the model to fit the hierarchical means clustering from sklearn.cluster import AgglomerativeClustering hc = AgglomerativeClustering (n_clusters = 5, affinity = "euclidean", linkage = 'ward') ...

Conclusion Hierarchical clustering methods identify five distinct clusters that do not correspond closely to quintiles of deprivation. This approach may help to distinguish between places that face ...

Recently introduced convex relaxations of k-means and hierarchical clustering shrink cluster centroids toward one another and ensure a unique global minimizer. In this work, we present two splitting ...