org.ddogleg.clustering.gmm

Class TestExpectationMaximizationGmm_F64

java.lang.Object

org.ddogleg.clustering.GenericClusterChecks_F64

org.ddogleg.clustering.gmm.TestExpectationMaximizationGmm_F64

public class TestExpectationMaximizationGmm_F64
extends GenericClusterChecks_F64

Constructor Summary

Constructors

Constructor and Description
TestExpectationMaximizationGmm_F64()

Method Summary

Modifier and Type	Method and Description
ComputeClusters<double[]>	createClustersAlg(boolean hint) If hint is true then the first 3 elements are good initial seeds for clustering
void	expectation() Computes the expectation for several points and a variable number of Gaussians.
void	maximization()

Methods inherited from class org.ddogleg.clustering.GenericClusterChecks_F64

computeDistance, simpleCluster

Methods inherited from class java.lang.Object

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

Constructor Detail

TestExpectationMaximizationGmm_F64

public TestExpectationMaximizationGmm_F64()

Method Detail

expectation

public void expectation()

Computes the expectation for several points and a variable number of Gaussians. Sees if points which are at the mean of the Gaussians have a peak at the expected location

maximization

public void maximization()

createClustersAlg

public ComputeClusters<double[]> createClustersAlg(boolean hint)

Description copied from class: GenericClusterChecks_F64

If hint is true then the first 3 elements are good initial seeds for clustering

Specified by:

createClustersAlg in class GenericClusterChecks_F64