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.
Package details |
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Author | Adelino Ferreira da Silva <afs@fct.unl.pt> |
Maintainer | Adelino Ferreira da Silva <afs@fct.unl.pt> |
License | GPL (>= 2) |
Version | 0.0-9 |
Package repository | View on CRAN |
Installation |
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