Uses of Class
gov.sandia.cognition.statistics.bayesian.DirichletProcessMixtureModel.DPMMLogConditional

Packages that use DirichletProcessMixtureModel.DPMMLogConditional

Package	Description
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.

Uses of DirichletProcessMixtureModel.DPMMLogConditional in gov.sandia.cognition.statistics.bayesian

Fields in gov.sandia.cognition.statistics.bayesian declared as DirichletProcessMixtureModel.DPMMLogConditional

Modifier and Type	Field and Description
protected DirichletProcessMixtureModel.DPMMLogConditional	ParallelDirichletProcessMixtureModel.DPMMAssignments.logConditional Log conditional likelihood of the previous sample

Methods in gov.sandia.cognition.statistics.bayesian with parameters of type DirichletProcessMixtureModel.DPMMLogConditional

Modifier and Type	Method and Description
protected java.util.ArrayList<java.util.Collection<ObservationType>>	DirichletProcessMixtureModel.assignObservationsToClusters(int K, DirichletProcessMixtureModel.DPMMLogConditional logConditional) Assigns observations to each of the K clusters, plus the as-yet-uncreated new cluster
protected java.util.ArrayList<java.util.Collection<ObservationType>>	ParallelDirichletProcessMixtureModel.assignObservationsToClusters(int K, DirichletProcessMixtureModel.DPMMLogConditional logConditional)
protected int	DirichletProcessMixtureModel.assignObservationToCluster(ObservationType observation, double[] weights, DirichletProcessMixtureModel.DPMMLogConditional logConditional) Probabilistically assigns an observation to a cluster

Constructors in gov.sandia.cognition.statistics.bayesian with parameters of type DirichletProcessMixtureModel.DPMMLogConditional

Constructor and Description
DPMMAssignments(java.util.ArrayList<java.lang.Integer> assignments, DirichletProcessMixtureModel.DPMMLogConditional logConditional) Constructor