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📉 Dimensionality Reduction: PCA, t-SNE & UMAP

Watch real PCA (covariance eigendecomposition), a live t-SNE-style neighbour-preserving optimisation, and a UMAP-style embedding run on 3D point clouds and project them down to 2D in real time.

Data Science & Statistics2DAdvanced60 FPS

⚙ Under the hood

Watch real PCA (covariance eigendecomposition), a live t-SNE-style optimisation, and a UMAP-style embedding project 3D point clouds down to 2D in real time.

dimensionality-reductionpcat-sneumapmachine-learningeigenvectors

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