dpmixsim (version 0.0-9)

Dirichlet Process Mixture Model Simulation for Clustering and Image Segmentation

Description

The 'dpmixsim' package implements a Dirichlet Process Mixture (DPM) model for clustering and image segmentation. The DPM model is a Bayesian nonparametric methodology that relies on MCMC simulations for exploring mixture models with an unknown number of components. The code implements conjugate models with normal structure (conjugate normal-normal DP mixture model). The package's applications are oriented towards the classification of magnetic resonance images according to tissue type or region of interest.

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Install

install.packages('dpmixsim')

Monthly Downloads

60

Version

0.0-9

License

GPL (>= 2)

Last Published

July 11th, 2018

Functions in dpmixsim (0.0-9)