Package elki.clustering.kmeans
Class SingleAssignmentKMeans.Par<V extends NumberVector>
- java.lang.Object
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- elki.clustering.kmeans.AbstractKMeans.Par<V>
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- elki.clustering.kmeans.SingleAssignmentKMeans.Par<V>
 
 
 
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- All Implemented Interfaces:
 Parameterizer
- Enclosing class:
 - SingleAssignmentKMeans<V extends NumberVector>
 
public static class SingleAssignmentKMeans.Par<V extends NumberVector> extends AbstractKMeans.Par<V>
Parameterization class.- Author:
 - Erich Schubert
 
 
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Field Summary
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Fields inherited from class elki.clustering.kmeans.AbstractKMeans.Par
distance, initializer, k, maxiter, varstat 
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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 voidconfigure(Parameterization config)Configure the class.SingleAssignmentKMeans<V>make()Make an instance after successful configuration.- 
Methods inherited from class elki.clustering.kmeans.AbstractKMeans.Par
getParameterDistance, getParameterInitialization, getParameterK, getParameterMaxIter, getParameterVarstat, needsMetric 
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Method Detail
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configure
public void configure(Parameterization config)
Description copied from interface:ParameterizerConfigure 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:
 configurein interfaceParameterizer- Overrides:
 configurein classAbstractKMeans.Par<V extends NumberVector>- Parameters:
 config- Parameterization
 
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make
public SingleAssignmentKMeans<V> make()
Description copied from interface:ParameterizerMake an instance after successful configuration.Note: your class should return the exact type, only this very broad interface should use
Objectas return type.- Specified by:
 makein interfaceParameterizer- Specified by:
 makein classAbstractKMeans.Par<V extends NumberVector>- Returns:
 - a new instance
 
 
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