Hierarchical clustering

Hierarchical clustering is a type of unsupervised learning algorithm in machine learning that groups similar data points into clusters. The algorithm builds a hierarchy of clusters, where each cluster has a parent cluster and several child clusters. The process of creating this hierarchy is called dendrogram.

• What is Hierarchical Clustering? An Introduction to Hierarchical Clustering
• Hierarchical Clustering with Python and Scikit-Learn
• Hierarchical Clustering Explained
• Cluster Analysis in R
• Hierarchical Clustering Algorithms and Applications
• Hierarchical Clustering in Machine Learning: