Package elki.algorithm
Class KNNDistancesSampler.Par<O>
- java.lang.Object
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- elki.algorithm.KNNDistancesSampler.Par<O>
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- All Implemented Interfaces:
Parameterizer
- Enclosing class:
- KNNDistancesSampler<O>
public static class KNNDistancesSampler.Par<O> extends java.lang.Object implements Parameterizer
Parameterization class.- Author:
- Erich Schubert
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Field Summary
Fields Modifier and Type Field Description protected Distance<? super O>
distance
The distance function to use.protected int
k
Parameter k.static OptionID
K_ID
Parameter to specify the distance of the k-distant object to be assessed, must be an integer greater than 0.protected double
percentage
Sampling percentage.protected RandomFactory
rnd
Random number seeding.static OptionID
SAMPLING_ID
Parameter to specify the average percentage of distances randomly chosen to be provided in the result, must be a double greater than 0 and less than or equal to 1.static OptionID
SEED_ID
Random generator seed for distances.
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Constructor Summary
Constructors Constructor Description Par()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
configure(Parameterization config)
Configure the class.KNNDistancesSampler<O>
make()
Make an instance after successful configuration.
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Field Detail
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K_ID
public static final OptionID K_ID
Parameter to specify the distance of the k-distant object to be assessed, must be an integer greater than 0.
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SAMPLING_ID
public static final OptionID SAMPLING_ID
Parameter to specify the average percentage of distances randomly chosen to be provided in the result, must be a double greater than 0 and less than or equal to 1.
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SEED_ID
public static final OptionID SEED_ID
Random generator seed for distances.
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k
protected int k
Parameter k.
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percentage
protected double percentage
Sampling percentage.
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rnd
protected RandomFactory rnd
Random number seeding.
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Method Detail
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configure
public void configure(Parameterization config)
Description copied from interface:Parameterizer
Configure the class.Note: the status is collected by the parameterization object, so that multiple errors may arise and be reported in one run.
- Specified by:
configure
in interfaceParameterizer
- Parameters:
config
- Parameterization
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make
public KNNDistancesSampler<O> make()
Description copied from interface:Parameterizer
Make an instance after successful configuration.Note: your class should return the exact type, only this very broad interface should use
Object
as return type.- Specified by:
make
in interfaceParameterizer
- Returns:
- a new instance
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