Package elki.clustering.kmeans
Class KDTreeFilteringKMeans.Par<V extends elki.data.NumberVector>
- java.lang.Object
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- elki.clustering.kmeans.AbstractKMeans.Par<V>
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- elki.clustering.kmeans.KDTreePruningKMeans.Par<V>
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- elki.clustering.kmeans.KDTreeFilteringKMeans.Par<V>
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- All Implemented Interfaces:
elki.utilities.optionhandling.Parameterizer
- Enclosing class:
- KDTreeFilteringKMeans<V extends elki.data.NumberVector>
public static class KDTreeFilteringKMeans.Par<V extends elki.data.NumberVector> extends KDTreePruningKMeans.Par<V>
Parameterization class.- Author:
- Erich Schubert
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Field Summary
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Fields inherited from class elki.clustering.kmeans.KDTreePruningKMeans.Par
leafsize, LEAFSIZE_ID, split, SPLIT_ID
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Fields inherited from class elki.clustering.kmeans.AbstractKMeans.Par
distance, initializer, k, maxiter, varstat
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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 KDTreeFilteringKMeans<V>make()-
Methods inherited from class elki.clustering.kmeans.KDTreePruningKMeans.Par
configure
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Methods inherited from class elki.clustering.kmeans.AbstractKMeans.Par
getParameterDistance, getParameterInitialization, getParameterK, getParameterMaxIter, getParameterVarstat, needsMetric
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Method Detail
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make
public KDTreeFilteringKMeans<V> make()
- Specified by:
makein interfaceelki.utilities.optionhandling.Parameterizer- Overrides:
makein classKDTreePruningKMeans.Par<V extends elki.data.NumberVector>
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