de.lmu.ifi.dbs.elki.math.statistics
Class GaussianKernelDensityFunction

java.lang.Object
  de.lmu.ifi.dbs.elki.math.statistics.GaussianKernelDensityFunction

All Implemented Interfaces:

KernelDensityFunction

public final class GaussianKernelDensityFunction
extends Object
implements KernelDensityFunction

Gaussian kernel density estimator.

Author:

Erich Schubert

Field Summary

private static double	GSCALE Scaling constant for Gaussian kernel, to make it sum up to 1.
static GaussianKernelDensityFunction	KERNEL Static instance.

Constructor Summary

private

GaussianKernelDensityFunction() Private, empty constructor.

Method Summary

double

density(double delta) Density contribution of a point at the given relative distance delta.

Methods inherited from class java.lang.Object

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

Field Detail

GSCALE

private static final double GSCALE

Scaling constant for Gaussian kernel, to make it sum up to 1.

KERNEL

public static final GaussianKernelDensityFunction KERNEL

Static instance.

Constructor Detail

GaussianKernelDensityFunction

private GaussianKernelDensityFunction()

Private, empty constructor. Use the static instance!

Method Detail

density

public double density(double delta)

Description copied from interface: KernelDensityFunction

Density contribution of a point at the given relative distance delta.

Specified by:

density in interface KernelDensityFunction

Parameters:

delta - Relative distance

Returns:

density contribution