makschudzik/Heart-Disease-Clustering-Methods-Comparison
This project analyzes the heart disease dataset using various clustering algorithms to identify natural groupings within the data. It includes data preprocessing, dimensionality reduction, and evaluation of four clustering methods: KMeans, MeanShift, GaussianMixture, and KNeighbors
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May 16, 2025
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