Class ExponentialStddevWeight
- java.lang.Object
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- elki.math.linearalgebra.pca.weightfunctions.ExponentialStddevWeight
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- 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
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Constructor Summary
Constructors Constructor Description ExponentialStddevWeight()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double
getWeight(double distance, double max, double stddev)
Get exponential weight, max is ignored.
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Method Detail
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getWeight
public double getWeight(double distance, double max, double stddev)
Get exponential weight, max is ignored.- Specified by:
getWeight
in interfaceWeightFunction
- Parameters:
distance
- distance of the query pointmax
- maximum distance of all included pointsstddev
- standard deviation (i.e. quadratic mean / RMS) of the included points- Returns:
- weight for the query point
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