Class RVEstimator
- java.lang.Object
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- elki.math.statistics.intrinsicdimensionality.RVEstimator
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- All Implemented Interfaces:
DistanceBasedIntrinsicDimensionalityEstimator
,IntrinsicDimensionalityEstimator<java.lang.Object>
@Reference(authors="L. Amsaleg, O. Chelly, T. Furon, S. Girard, M. E. Houle, K. Kawarabayashi, M. Nett", title="Estimating Local Intrinsic Dimensionality", booktitle="Proc. SIGKDD International Conference on Knowledge Discovery and Data Mining 2015", url="https://doi.org/10.1145/2783258.2783405", bibkey="DBLP:conf/kdd/AmsalegCFGHKN15") public class RVEstimator extends java.lang.Object implements DistanceBasedIntrinsicDimensionalityEstimator
Regularly Varying Functions estimator of the intrinsic dimensionalityReference:
L. Amsaleg, O. Chelly, T. Furon, S. Girard, M. E. Houle, K. Kawarabayashi, M. Nett
Estimating Local Intrinsic Dimensionality
Proc. SIGKDD Int. Conf. on Knowledge Discovery and Data Mining- Since:
- 0.7.0
- Author:
- Oussama Chelly
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
RVEstimator.Par
Parameterization class.
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Field Summary
Fields Modifier and Type Field Description static RVEstimator
STATIC
Static instance.
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Constructor Summary
Constructors Constructor Description RVEstimator()
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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 RVEstimator 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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