A web-based clustering application developed for my undergraduate thesis, utilizing K-Means and K-Medoids algorithms with Silhouette Coefficient optimization. Features include CSV input, exploratory ...
This project uses K-Means clustering to segment mall customers based on Age, Annual Income, and Spending Score. It includes data preprocessing, optimal cluster selection using Elbow and Silhouette ...
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