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GiatrasKon / Clustering-Countries-Socioeconomic-Health-Analysis

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Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.

machine-learning clustering matlab data-visualization feature-selection pca data-analysis country-data unsupervised-learning health-indicators socio-economic-indicators k-means-clustering pearson-correlation elbow-method human-development-index k-medoids-clustering k-median-clustering silhouette-score calinski-harabasz-index davies-bouldin-index
  • Updated Nov 27, 2024
  • MATLAB

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