public class NormalLevenbergMarquardtKDEEstimator extends java.lang.Object implements DistributionEstimator<NormalDistribution>
Note: this estimator is rather expensive, and needs optimization in the KDE phase, which currently is O(n²)!
This estimator is primarily attractive when only part of the distribution was observed.
Modifier and Type | Class and Description |
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static class |
NormalLevenbergMarquardtKDEEstimator.Parameterizer
Parameterization class.
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Modifier and Type | Field and Description |
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static NormalLevenbergMarquardtKDEEstimator |
STATIC
Static estimator for small sample sizes and partial data.
|
Modifier | Constructor and Description |
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private |
NormalLevenbergMarquardtKDEEstimator()
Constructor.
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Modifier and Type | Method and Description |
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<A> NormalDistribution |
estimate(A data,
NumberArrayAdapter<?,A> adapter)
General form of the parameter estimation
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java.lang.Class<? super NormalDistribution> |
getDistributionClass()
Get the class that is produced by the estimator.
|
java.lang.String |
toString() |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
estimate
public static final NormalLevenbergMarquardtKDEEstimator STATIC
private NormalLevenbergMarquardtKDEEstimator()
public <A> NormalDistribution estimate(A data, NumberArrayAdapter<?,A> adapter)
DistributionEstimator
estimate
in interface DistributionEstimator<NormalDistribution>
data
- Data setadapter
- Number array adapterpublic java.lang.Class<? super NormalDistribution> getDistributionClass()
DistributionEstimator
getDistributionClass
in interface DistributionEstimator<NormalDistribution>
public java.lang.String toString()
toString
in class java.lang.Object
Copyright © 2019 ELKI Development Team. License information.