Package elki.clustering.correlation
Class FourC.Settings
- java.lang.Object
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- elki.clustering.correlation.FourC.Settings
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- Enclosing class:
- FourC
public static class FourC.Settings extends java.lang.Object
Class wrapping the 4C parameter settings.- Author:
- Erich Schubert
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
FourC.Settings.Par
Parameterization class for 4C settings.
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Field Summary
Fields Modifier and Type Field Description boolean
absolute
Use absolute variance, not relative variance.double
delta
Delta parameter, for selecting strong Eigenvectors.double
epsilon
Query radius epsilon.double
kappa
Kappa penalty parameter, to punish deviation in low-variance Eigenvectors.int
lambda
Maximum subspace dimensionality lambda.int
minpts
MinPts / mu parameter.
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Constructor Summary
Constructors Constructor Description Settings()
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Field Detail
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epsilon
public double epsilon
Query radius epsilon.
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absolute
public boolean absolute
Use absolute variance, not relative variance.
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delta
public double delta
Delta parameter, for selecting strong Eigenvectors.
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kappa
public double kappa
Kappa penalty parameter, to punish deviation in low-variance Eigenvectors.
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lambda
public int lambda
Maximum subspace dimensionality lambda.
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minpts
public int minpts
MinPts / mu parameter.
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