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🧪 Machine Learning Pca Simulation – Noise Level Control

Interactive PCA simulation – learn how dimensionality reduction of data works.

Machine Learning & Neural Networks2DModerate60 FPS

⚙ Under the hood

This simulation allows you to visually explore Principal Component Analysis (PCA), a dimensionality reduction technique used in machine learning. By manipulating data and observing the resulting principal components, you can gain an intuitive understanding of how PCA works to identify key features and reduce complexity. A noise-level control drives the spread of the generated correlated data, previously hardcoded. Adds a noise-level control governing the spread of the generated correlated data, previously hardcoded.

PCAMachine Learning

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