org.ddogleg.clustering.kmeans

Interface InitializeKMeans_F64

All Known Implementing Classes:

InitializePlusPlus, InitializeStandard_F64, TestSeedFromKMeans_F64.FixedSeeds, TestStandardKMeans_F64.FixedSeeds

public interface InitializeKMeans_F64

Selects the initial cluster positions for k-means

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<double[]> seeds)

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<double[]> seeds)

Parameters:

points - Set of points which is to be clustered.

seeds - List full of points which will act as the initial seed for k-means.