Implements a Gaussian Mixture model in JavaScript
This project implements a one-dimensional Gaussian Mixture Model (GMM) in JavaScript, providing tools for fitting distributions to data points along a single axis. It's designed for data scientists and developers who need to model and analyze univariate data distributions using probabilistic methods, offering features like parameter optimization, sampling, and membership calculations.
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