Package elki.clustering.subspace
Class SUBCLU.Par<V extends elki.data.NumberVector>
- java.lang.Object
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- elki.clustering.subspace.SUBCLU.Par<V>
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- All Implemented Interfaces:
elki.utilities.optionhandling.Parameterizer
public static class SUBCLU.Par<V extends elki.data.NumberVector> extends java.lang.Object implements elki.utilities.optionhandling.ParameterizerParameterization class.- Author:
- Erich Schubert
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Field Summary
Fields Modifier and Type Field Description protected elki.distance.subspace.DimensionSelectingSubspaceDistance<V>distanceThe distance function to determine the distance between objects.static elki.utilities.optionhandling.OptionIDDISTANCE_FUNCTION_IDThe distance function to determine the distance between objects.protected doubleepsilonMaximum radius of the neighborhood to be considered.static elki.utilities.optionhandling.OptionIDEPSILON_IDMaximum radius of the neighborhood to be considered.protected intmindimMinimum dimensionality.static elki.utilities.optionhandling.OptionIDMINDIM_IDMinimum dimensionality to generate clusters.protected intminptsMinimum number of points.static elki.utilities.optionhandling.OptionIDMINPTS_IDParameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
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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 voidconfigure(elki.utilities.optionhandling.parameterization.Parameterization config)SUBCLU<V>make()
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Field Detail
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DISTANCE_FUNCTION_ID
public static final elki.utilities.optionhandling.OptionID DISTANCE_FUNCTION_ID
The distance function to determine the distance between objects.
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EPSILON_ID
public static final elki.utilities.optionhandling.OptionID EPSILON_ID
Maximum radius of the neighborhood to be considered.
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MINPTS_ID
public static final elki.utilities.optionhandling.OptionID MINPTS_ID
Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
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MINDIM_ID
public static final elki.utilities.optionhandling.OptionID MINDIM_ID
Minimum dimensionality to generate clusters.
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distance
protected elki.distance.subspace.DimensionSelectingSubspaceDistance<V extends elki.data.NumberVector> distance
The distance function to determine the distance between objects.
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epsilon
protected double epsilon
Maximum radius of the neighborhood to be considered.
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minpts
protected int minpts
Minimum number of points.
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mindim
protected int mindim
Minimum dimensionality.
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