Package elki.clustering.correlation
Class HiCO.Par
- java.lang.Object
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- elki.clustering.correlation.HiCO.Par
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- All Implemented Interfaces:
Parameterizer
- Enclosing class:
- HiCO
public static class HiCO.Par extends java.lang.Object implements Parameterizer
Parameterization class.- Author:
- Erich Schubert
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Field Summary
Fields Modifier and Type Field Description (package private) double
alpha
Alpha parameterstatic OptionID
ALPHA_ID
The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.(package private) double
delta
Delta parameterstatic OptionID
DELTA_ID
Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.protected int
k
Number of neighbors to query.static OptionID
K_ID
Optional parameter to specify the number of nearest neighbors considered in the PCA, must be an integer greater than 0.(package private) int
mu
Mu parameterstatic OptionID
MU_ID
Parameter to specify the smoothing factor, must be an integer greater than 0.protected PCARunner
pca
PCA utility object.
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Constructor Summary
Constructors Constructor Description Par()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
configure(Parameterization config)
Configure the class.HiCO
make()
Make an instance after successful configuration.
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Field Detail
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MU_ID
public static final OptionID MU_ID
Parameter to specify the smoothing factor, must be an integer greater than 0. The {linkMU_ID
-nearest neighbor is used to compute the correlation reachability of an object.
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K_ID
public static final OptionID K_ID
Optional parameter to specify the number of nearest neighbors considered in the PCA, must be an integer greater than 0. If this parameter is not set, k is set to the value ofMU_ID
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DELTA_ID
public static final OptionID DELTA_ID
Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.
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ALPHA_ID
public static final OptionID ALPHA_ID
The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.
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k
protected int k
Number of neighbors to query.
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pca
protected PCARunner pca
PCA utility object.
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mu
int mu
Mu parameter
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alpha
double alpha
Alpha parameter
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delta
double delta
Delta parameter
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Method Detail
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configure
public void configure(Parameterization config)
Description copied from interface:Parameterizer
Configure the class.Note: the status is collected by the parameterization object, so that multiple errors may arise and be reported in one run.
- Specified by:
configure
in interfaceParameterizer
- Parameters:
config
- Parameterization
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make
public HiCO make()
Description copied from interface:Parameterizer
Make an instance after successful configuration.Note: your class should return the exact type, only this very broad interface should use
Object
as return type.- Specified by:
make
in interfaceParameterizer
- Returns:
- a new instance
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