/Mall-Customer-Clusters

Python code to clusters the different type of customers in a mall in separate categories. Methods used are K-Means Clustering and Hierarchical Clustering

Primary LanguageJupyter Notebook

Mall-Customer-Clusters

This model was build to enable customer segmentation in a mall. Two algos were implemented and customers were divided into 5 clusters based on their annual income and spending scores.

Later, the performance of two models was compared using Silhouette score. The higher value of Silhouette score of 0.5539 is obtained in case of K-Means clustering.