dpmixsim (0.0-8)

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Dirichlet Process Mixture model simulation for clustering and image segmentation.


The 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.

Maintainer: Adelino Ferreira da Silva
Author(s): Adelino Ferreira da Silva <afs@fct.unl.pt>

License: GPL (>= 2)

Uses: cluster, oro.nifti

Released about 5 years ago.

4 previous versions



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