Package org.hipparchus.samples

Class ClusterAlgorithmComparison

java.lang.Object

org.hipparchus.samples.ClusterAlgorithmComparison

public class ClusterAlgorithmComparison
extends Object

Plots clustering results for various algorithms and datasets. Based on scikit learn.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ClusterAlgorithmComparison.ClusterPlot
static class	ClusterAlgorithmComparison.Display

Constructor Summary

Constructors

Constructor	Description
ClusterAlgorithmComparison()

Method Summary

Modifier and Type	Method	Description
static Vector2D	generateNoiseVector(RandomGenerator randomGenerator, double noise)
static void	main(String[] args)
static List<Vector2D>	makeBlobs(int samples, int centers, double clusterStd, double min, double max, boolean shuffle, RandomGenerator random)
static List<Vector2D>	makeCircles(int samples, boolean shuffle, double noise, double factor, RandomGenerator random)
static List<Vector2D>	makeMoons(int samples, boolean shuffle, double noise, RandomGenerator random)
static List<Vector2D>	makeRandom(int samples)
static List<DoublePoint>	normalize(List<Vector2D> input, double minX, double maxX, double minY, double maxY)

Methods inherited from class java.lang.Object

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

Constructor Detail

ClusterAlgorithmComparison

public ClusterAlgorithmComparison()

Method Detail

makeCircles

public static List<Vector2D> makeCircles(int samples,
                                         boolean shuffle,
                                         double noise,
                                         double factor,
                                         RandomGenerator random)

makeMoons

public static List<Vector2D> makeMoons(int samples,
                                       boolean shuffle,
                                       double noise,
                                       RandomGenerator random)

makeBlobs

public static List<Vector2D> makeBlobs(int samples,
                                       int centers,
                                       double clusterStd,
                                       double min,
                                       double max,
                                       boolean shuffle,
                                       RandomGenerator random)

makeRandom

public static List<Vector2D> makeRandom(int samples)

generateNoiseVector

public static Vector2D generateNoiseVector(RandomGenerator randomGenerator,
                                           double noise)

normalize

public static List<DoublePoint> normalize(List<Vector2D> input,
                                          double minX,
                                          double maxX,
                                          double minY,
                                          double maxY)

main

public static void main(String[] args)