AIM (Adsorption Integrated Modules) is a collection of MATLAB based GUI modules for adsorption isotherm based fixed bed process modelling

Unsupervised Learning of Mixture of von Mises-Fisher distributions using Minimum Message Length

Replication package for Abbring and Salimans (2021), "The Likelihood of Mixed Hitting Times," with MATLAB code for estimating mixed hitting-time models

ESE 650: Learning in Robotics Project 1, Color Segmentation using Gaussian Mixture Models

Manifold algorithm using a Mixture of Factor Analyzers.

This repository contains functions for obtaining posterior samples of allocation variables in multiple Bayesian over-fitted (sparse finite) mixed-scale mixture models. Mixture models included: 1) Bayesian Tensor Mixture of Product Kernels model (BayesTMPK), 2) Modularized Tensor Factorizations (MOTEF), 3) Bayesian Mixture of Product Kernels (Bay…

Fast Expectation Maximization (EM) algorithm for weighted samples in MATLAB