Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

CData	Manages distance matrices and cluster allocations for points
CDP	Dirichlet Process class for Bayesian nonparametric clustering
CDPW	Dirichlet Process with spatial Weights class for spatially-aware Bayesian nonparametric clustering
CLikelihood	Computes log-likelihood for clusters based on distance-based cohesion and repulsion
CNeal3	Implementation of Neal's Algorithm 3 for collapsed Gibbs sampling
CNGGP	Normalized Generalized Gamma Process class for Bayesian nonparametric clustering
CNGGPW	Normalized Generalized Gamma Process with spatial Weights class for spatially-aware Bayesian nonparametric clustering
CParams	Structure containing all parameters needed for the NGGP (Normalized Generalized Gamma Process) and DP (Dirichlet Process) model
CProcess	Abstract base class for Bayesian nonparametric processes
CSampler	Abstract base class for MCMC sampler implementations
CSplitMerge	Split-Merge sampler for Bayesian nonparametric mixture models
CSplitMerge_SAMS	Sequential Allocation Merge-Split (SAMS) sampler for Bayesian nonparametric models