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