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	Plot component.
static class	ClusterAlgorithmComparison.Display	Display frame.

Constructor Summary

Constructors

Constructor	Description
ClusterAlgorithmComparison()	Empty constructor.

Method Summary

Modifier and Type	Method	Description
static Vector2D	generateNoiseVector(RandomGenerator randomGenerator, double noise)	Generate a random vector.
static void	main(String[] args)	Example entry point.
static List<Vector2D>	makeBlobs(int samples, int centers, double clusterStd, double min, double max, boolean shuffle, RandomGenerator random)	Make blobs patterns.
static List<Vector2D>	makeCircles(int samples, boolean shuffle, double noise, double factor, RandomGenerator random)	Make circles patterns.
static List<Vector2D>	makeMoons(int samples, boolean shuffle, double noise, RandomGenerator random)	Make Moons patterns.
static List<Vector2D>	makeSobol(int samples)	Make Sobol patterns.
static List<DoublePoint>	normalize(List<Vector2D> input, double minX, double maxX, double minY, double maxY)	Normolize points in a rectangular area

Methods inherited from class java.lang.Object

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

Constructor Detail

ClusterAlgorithmComparison

public ClusterAlgorithmComparison()

Empty constructor.

This constructor is not strictly necessary, but it prevents spurious javadoc warnings with JDK 18 and later.

Since:

3.0

Method Detail

makeCircles

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

Make circles patterns.

Parameters:

samples - number of points

shuffle - if true, shuffle points

noise - noise to add to points position

factor - reduction factor from outer to inner circle

random - generator to use

Returns:

circle patterns

makeMoons

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

Make Moons patterns.

Parameters:

samples - number of points

shuffle - if true, shuffle points

noise - noise to add to points position

random - generator to use

Returns:

Moons patterns

makeBlobs

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

Make blobs patterns.

Parameters:

samples - number of points

centers - number of centers

clusterStd - standard deviation of cluster

min - range min value

max - range max value

shuffle - if true, shuffle points

random - generator to use

Returns:

blobs patterns

makeSobol

public static List<Vector2D> makeSobol(int samples)

Make Sobol patterns.

Parameters:

samples - number of points

Returns:

Moons patterns

generateNoiseVector

public static Vector2D generateNoiseVector(RandomGenerator randomGenerator,
                                           double noise)

Generate a random vector.

Parameters:

randomGenerator - random generator to use

noise - noise level

Returns:

random vector

normalize

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

Normolize points in a rectangular area

Parameters:

input - input points

minX - range min value in X

maxX - range max value in X

minY - range min value in Y

maxY - range max value in Y

Returns:

normalized points

main

public static void main(String[] args)

Example entry point.

Parameters:

args - arguments (not used)