Hierarchical Clustering: Explanation and Implementation

Hierarchical clustering is a type of unsupervised machine learning algorithm used to cluster unlabeled data points. It involves creating clusters that have a predetermined ordering from top to bottom. This video demonstrated theory and implementation using python programming language.