Class HillEstimator
- java.lang.Object
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- elki.math.statistics.intrinsicdimensionality.HillEstimator
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- All Implemented Interfaces:
DistanceBasedIntrinsicDimensionalityEstimator
,IntrinsicDimensionalityEstimator<java.lang.Object>
@Reference(authors="B. M. Hill", title="A simple general approach to inference about the tail of a distribution", booktitle="The annals of statistics 3(5)", url="https://doi.org/10.1214/aos/1176343247", bibkey="doi:10.1214/aos/1176343247") public class HillEstimator extends java.lang.Object implements DistanceBasedIntrinsicDimensionalityEstimator
Hill estimator of the intrinsic dimensionality (maximum likelihood estimator for ID).Reference:
B. M. Hill
A simple general approach to inference about the tail of a distribution
The annals of statistics 3(5)- Since:
- 0.7.0
- Author:
- Jonathan von Brünken, Erich Schubert
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
HillEstimator.Par
Parameterization class.
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Field Summary
Fields Modifier and Type Field Description static HillEstimator
STATIC
Static instance.
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Constructor Summary
Constructors Constructor Description HillEstimator()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description <A> double
estimate(A data, NumberArrayAdapter<?,? super A> adapter, int end)
Estimate from a distance list.
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Field Detail
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STATIC
public static final HillEstimator STATIC
Static instance.
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Method Detail
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estimate
public <A> double estimate(A data, NumberArrayAdapter<?,? super A> adapter, int end)
Description copied from interface:DistanceBasedIntrinsicDimensionalityEstimator
Estimate from a distance list.- Specified by:
estimate
in interfaceDistanceBasedIntrinsicDimensionalityEstimator
- Type Parameters:
A
- array type- Parameters:
data
- Dataadapter
- Array adapterend
- Length- Returns:
- Estimated intrinsic dimensionality
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