Understanding Machine Learning through Animated Visualizations
This repository contains the source code for animated visualizations of some famous machine learning algorithms. They were created using the R package animation, and ilustrate algorithm convergence and the effect of hyper-parameter tuning. The simulations available so far are:
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Multivariate Gaussian Mixture Models (GMMs) fitting by EM algorithm.
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Multimodal Density Estimation using GMMs.
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Tikhonov Regularization effect in Extreme Learning Machines (ELMs).
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Image Segmentation using K-means.
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Image Reconstruction using Principal Components Analysis (PCA).
Take a look at the website and have fun!