Implementation of Markov Chain Bayesian Clustering techniques, including DPM (Dirichlet Process Mixture Models) and MFM (Mixture of Finite Mixtures) mixture models, with an abstract Mixture Model and Component Model API. Hyperparameter updates for DPM are implemented using an Empirical Bayes update procedure. Final configuration selection is implemented using Least Squares clustering.
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.