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🧪 PCA Dimensionality Reduction - Interactive Visualization

Explore Principal Component Analysis with interactive 3D to 2D visualization. Understand variance, eigenvectors, and dimensionality reduction in machine learning.

Mathematics2DModerate60 FPS

⚙ Under the hood

This simulation demonstrates the application of Principal Component Analysis (PCA) for dimensionality reduction. Users can interactively explore how data is projected onto lower-dimensional subspaces while preserving variance.

PCADimensionality Reduction

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install