Ktistos/Principal-Component-Analysis-for-Data-Compression-and-Visualization
View on GitHub ↗Related repositories →This project demonstrates the implementation of Principal Component Analysis (PCA) for dimensionality reduction, data visualization, and reconstruction. It applies PCA on both synthetic 2D data and real-world face images, showing how PCA can capture essential features while reducing dimensionality.
active 2025-03-09 → 2025-03-09 (UTC)
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