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bic

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This project implements customer segmentation using Principal Component Analysis (PCA) for dimensionality reduction and Gaussian Mixture Models (GMM) for clustering. It analyzes customer data and visualizes the clusters in 2D and 3D. The optimal number of clusters is determined using the Bayesian Information Criterion (BIC).

  • Updated Feb 6, 2025
  • Python

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