Clustering-Retail-Customers

This application is for clustering and grouping customers based on their purchase history to give insights to the retail department.

For clustering, unsupervised machine learning algorithms are used such as-

1. KMeans-Clustering
2. Silhoutte Method for determining optimal values of clusters(K in KMeans)
3. Hierarchial Clustering - Methods: Single, Average and Complete.
4. DBSCAN