de.lmu.ifi.dbs.elki.datasource.filter
Class AttributeWiseMinMaxNormalization.Parameterizer<V extends NumberVector<V,?>>
java.lang.Object
de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer
de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseMinMaxNormalization.Parameterizer<V>
- All Implemented Interfaces:
- Parameterizer
- Enclosing class:
- AttributeWiseMinMaxNormalization<V extends NumberVector<V,?>>
public static class AttributeWiseMinMaxNormalization.Parameterizer<V extends NumberVector<V,?>>
- extends AbstractParameterizer
Parameterization class.
Field Summary |
private double[] |
maxima
Stores the maximum in each dimension. |
private double[] |
minima
Stores the minimum in each dimension. |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
maxima
private double[] maxima
- Stores the maximum in each dimension.
minima
private double[] minima
- Stores the minimum in each dimension.
AttributeWiseMinMaxNormalization.Parameterizer
public AttributeWiseMinMaxNormalization.Parameterizer()
makeOptions
protected void makeOptions(Parameterization config)
- Description copied from class:
AbstractParameterizer
- Add all options.
ALWAYS call super.makeOptions(config), unless you have a strong reason
to do otherwise!
- Overrides:
makeOptions
in class AbstractParameterizer
- Parameters:
config
- Parameterization to add options to.
makeInstance
protected AttributeWiseMinMaxNormalization<V> makeInstance()
- Description copied from class:
AbstractParameterizer
- Make an instance after successful configuration.
- Specified by:
makeInstance
in class AbstractParameterizer
- Returns:
- instance