Package elki.clustering.dbscan
Class LSDBC.Par<O extends NumberVector>
- java.lang.Object
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- elki.clustering.dbscan.LSDBC.Par<O>
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- All Implemented Interfaces:
Parameterizer
- Enclosing class:
- LSDBC<O extends NumberVector>
public static class LSDBC.Par<O extends NumberVector> extends java.lang.Object implements Parameterizer
Parameterization class- Author:
- Erich Schubert
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Field Summary
Fields Modifier and Type Field Description protected double
alpha
Alpha parameter.static OptionID
ALPHA_ID
Parameter for the maximum density difference.protected Distance<? super O>
distance
The distance function to use.protected int
k
kNN parameter.static OptionID
K_ID
Parameter for neighborhood size.
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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.LSDBC<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 for neighborhood size.
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ALPHA_ID
public static final OptionID ALPHA_ID
Parameter for the maximum density difference.
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k
protected int k
kNN parameter.
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alpha
protected double alpha
Alpha parameter.
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distance
protected Distance<? super O extends NumberVector> distance
The distance function to use.
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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 LSDBC<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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