Package elki.math.linearalgebra.pca.weightfunctions

Class ExponentialStddevWeight

java.lang.Object

elki.math.linearalgebra.pca.weightfunctions.ExponentialStddevWeight

All Implemented Interfaces:

WeightFunction

public final class ExponentialStddevWeight
extends java.lang.Object
implements WeightFunction

Exponential Weight function, scaled using the standard deviation using: \( \sigma \exp(-\frac{1}{2} \frac{\text{distance}}{\sigma}) \).

This is similar to the Gaussian weight function, except distance/stddev is not squared.

Since:

0.2

Author:

Erich Schubert

Constructor Summary

Constructors

Constructor	Description
ExponentialStddevWeight()

Method Summary

Modifier and Type	Method	Description
double	getWeight(double distance, double max, double stddev)	Get exponential weight, max is ignored.

Methods inherited from class java.lang.Object

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

Constructor Detail

ExponentialStddevWeight

public ExponentialStddevWeight()

Method Detail

getWeight

public double getWeight(double distance,
                        double max,
                        double stddev)

Get exponential weight, max is ignored.

Specified by:

getWeight in interface WeightFunction

Parameters:

distance - distance of the query point

max - maximum distance of all included points

stddev - standard deviation (i.e. quadratic mean / RMS) of the included points

Returns:

weight for the query point