org.ddogleg.clustering.gmm

Interface InitializeGmm_F64

All Known Implementing Classes:

SeedFromKMeans_F64

public interface InitializeGmm_F64

Selects initial Gaussians for EM algorithm.

Method Summary

Modifier and Type	Method and Description
void	init(int pointDimension, long randomSeed) Initializes internal data structures.
void	selectSeeds(java.util.List<double[]> points, java.util.List<GaussianGmm_F64> seeds)
void	setVerbose(boolean verbose) Turn on verbose output to standard out

Method Detail

init

void init(int pointDimension,
          long randomSeed)

Initializes internal data structures. Must be called first.

Parameters:

pointDimension - Number of degrees of freedom in each point.

randomSeed - Seed for any random number generators used internally.

selectSeeds

void selectSeeds(java.util.List<double[]> points,
                 java.util.List<GaussianGmm_F64> seeds)

Parameters:

points - (input) Set of points which is to be clustered.

seeds - (output) List containing storage for the initial Gaussians.

setVerbose

void setVerbose(boolean verbose)

Turn on verbose output to standard out