de.lmu.ifi.dbs.elki.algorithm.outlier.spatial
Class TrimmedMeanApproach.Parameterizer<N>
java.lang.Object
de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier.Parameterizer<N>
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer<N>
- Type Parameters:
N
- Neighborhood object type
- All Implemented Interfaces:
- Parameterizer
- Enclosing class:
- TrimmedMeanApproach<N>
public static class TrimmedMeanApproach.Parameterizer<N>
- extends AbstractNeighborhoodOutlier.Parameterizer<N>
Parameterizer
Field Summary |
protected double |
p
Percentile parameter p |
static OptionID |
P_ID
Parameter for the percentile value p |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
P_ID
public static final OptionID P_ID
- Parameter for the percentile value p
p
protected double p
- Percentile parameter p
TrimmedMeanApproach.Parameterizer
public TrimmedMeanApproach.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 AbstractNeighborhoodOutlier.Parameterizer<N>
- Parameters:
config
- Parameterization to add options to.
makeInstance
protected TrimmedMeanApproach<N> makeInstance()
- Description copied from class:
AbstractParameterizer
- Make an instance after successful configuration.
- Specified by:
makeInstance
in class AbstractParameterizer
- Returns:
- instance