Thesis docs
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Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 12]
 CDataManages distance matrices and cluster allocations for points
 CLikelihoodComputes log-likelihood for clusters based on distance-based cohesion and repulsion
 CParamsStructure containing all parameters needed for the NGGP (Normalized Generalized Gamma Process) and DP (Dirichlet Process) model
 CProcessAbstract base class for Bayesian nonparametric processes
 CDPDirichlet Process class for Bayesian nonparametric clustering
 CDPWDirichlet Process with spatial Weights class for spatially-aware Bayesian nonparametric clustering
 CNGGPNormalized Generalized Gamma Process class for Bayesian nonparametric clustering
 CNGGPWNormalized Generalized Gamma Process with spatial Weights class for spatially-aware Bayesian nonparametric clustering
 CSamplerAbstract base class for MCMC sampler implementations
 CNeal3Implementation of Neal's Algorithm 3 for collapsed Gibbs sampling
 CSplitMergeSplit-Merge sampler for Bayesian nonparametric mixture models
 CSplitMerge_SAMSSequential Allocation Merge-Split (SAMS) sampler for Bayesian nonparametric models