Hierarchical-Clustering-with-Dataset

Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that groups similar objects into groups called clusters. The endpoint is a set of clusters, where each cluster is distinct from each other cluster, and the objects within each cluster are broadly similar to each other.

Libraries:

Libraries i used in this notebook is Scipy, Scikit-learn, pandas, matplotlib

Run

To run this notebook simple clone this repository and run notebook