com.datumbox.framework.core.machinelearning.clustering

Class GaussianDPMM

java.lang.Object

com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractModeler<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractClusterer<CL,MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.algorithms.AbstractDPMM<GaussianDPMM.Cluster,GaussianDPMM.ModelParameters,GaussianDPMM.TrainingParameters>

com.datumbox.framework.core.machinelearning.clustering.GaussianDPMM

All Implemented Interfaces:

Savable, Parallelizable, PredictParallelizable, Trainable<GaussianDPMM.ModelParameters,GaussianDPMM.TrainingParameters>, java.lang.AutoCloseable

public class GaussianDPMM
extends AbstractDPMM<GaussianDPMM.Cluster,GaussianDPMM.ModelParameters,GaussianDPMM.TrainingParameters>

The GaussianDPMM implements Dirichlet Process Mixture Models with Multivariate Normal and Normal-Inverse-Wishart prior. References: http://blog.datumbox.com/overview-of-cluster-analysis-and-dirichlet-process-mixture-models/ http://blog.datumbox.com/clustering-documents-and-gaussian-data-with-dirichlet-process-mixture-models/ http://snippyhollow.github.io/blog/2013/03/10/collapsed-gibbs-sampling-for-dirichlet-process-gaussian-mixture-models/ http://blog.echen.me/2012/03/20/infinite-mixture-models-with-nonparametric-bayes-and-the-dirichlet-process/ http://www.cs.princeton.edu/courses/archive/fall07/cos597C/scribe/20070921.pdf

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GaussianDPMM.Cluster The AbstractCluster class of the GaussianDPMM model.
static class	GaussianDPMM.ModelParameters Base class for every ModelParameter class in the framework.
static class	GaussianDPMM.TrainingParameters The AbstractTrainingParameters class stores the parameters that can be changed before training the algorithm.

Nested classes/interfaces inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.algorithms.AbstractDPMM

AbstractDPMM.AbstractCluster, AbstractDPMM.AbstractModelParameters<CL extends AbstractDPMM.AbstractCluster>, AbstractDPMM.AbstractTrainingParameters

Nested classes/interfaces inherited from interface com.datumbox.framework.core.machinelearning.common.interfaces.PredictParallelizable

PredictParallelizable.Prediction

Method Summary

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.algorithms.AbstractDPMM

_predictRecord, isParallelized, setParallelized

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractClusterer

getClusters

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractModeler

predict

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer

close, delete, fit, getModelParameters, getTrainingParameters, save

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.datumbox.framework.core.machinelearning.common.interfaces.PredictParallelizable

_predictDatasetParallel, _predictDatasetParallel