public static class KMeansHamerly.Parameterizer<V extends NumberVector> extends AbstractKMeans.Parameterizer<V>
Modifier and Type | Field and Description |
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protected boolean |
varstat
Compute the final variance statisic.
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static OptionID |
VARSTAT_ID
Flag to compute the final clustering variance statistic.
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initializer, k, maxiter
distanceFunction
Constructor and Description |
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KMeansHamerly.Parameterizer() |
Modifier and Type | Method and Description |
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protected Logging |
getLogger()
Get class logger.
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protected void |
getParameterDistanceFunction(Parameterization config)
Get the distance function parameter.
|
protected KMeansHamerly<V> |
makeInstance()
Make an instance after successful configuration.
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protected void |
makeOptions(Parameterization config)
Add all options.
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getParameterInitialization, getParameterK, getParameterMaxIter
configure, make
public static final OptionID VARSTAT_ID
protected boolean varstat
protected Logging getLogger()
AbstractKMeans.Parameterizer
getLogger
in class AbstractKMeans.Parameterizer<V extends NumberVector>
protected void getParameterDistanceFunction(Parameterization config)
AbstractKMeans.Parameterizer
getParameterDistanceFunction
in class AbstractKMeans.Parameterizer<V extends NumberVector>
config
- Parameterizationprotected void makeOptions(Parameterization config)
AbstractParameterizer
makeOptions
in class AbstractKMeans.Parameterizer<V extends NumberVector>
config
- Parameterization to add options to.protected KMeansHamerly<V> makeInstance()
AbstractParameterizer
makeInstance
in class AbstractKMeans.Parameterizer<V extends NumberVector>
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.