de.lmu.ifi.dbs.elki.math.linearalgebra.pca
Class PercentageEigenPairFilter.Parameterizer
java.lang.Object
de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer
de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter.Parameterizer
- All Implemented Interfaces:
- Parameterizer
- Enclosing class:
- PercentageEigenPairFilter
public static class PercentageEigenPairFilter.Parameterizer
- extends AbstractParameterizer
Parameterization class.
Field Summary |
private double |
alpha
The threshold for strong eigenvectors: the strong eigenvectors explain a
portion of at least alpha of the total variance. |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
alpha
private double alpha
- The threshold for strong eigenvectors: the strong eigenvectors explain a
portion of at least alpha of the total variance.
PercentageEigenPairFilter.Parameterizer
public PercentageEigenPairFilter.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 PercentageEigenPairFilter makeInstance()
- Description copied from class:
AbstractParameterizer
- Make an instance after successful configuration.
- Specified by:
makeInstance
in class AbstractParameterizer
- Returns:
- instance