Package elki.clustering.kmeans
Class SingleAssignmentKMeans.Instance
- java.lang.Object
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- elki.clustering.kmeans.AbstractKMeans.Instance
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- elki.clustering.kmeans.SingleAssignmentKMeans.Instance
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- Enclosing class:
- SingleAssignmentKMeans<V extends NumberVector>
protected static class SingleAssignmentKMeans.Instance extends AbstractKMeans.Instance
Inner instance, storing state for a single data set.- Author:
- Erich Schubert
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Field Summary
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Fields inherited from class elki.clustering.kmeans.AbstractKMeans.Instance
assignment, clusters, diststat, isSquared, k, key, means, relation, varsum
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Constructor Summary
Constructors Constructor Description Instance(Relation<? extends NumberVector> relation, NumberVectorDistance<?> df, double[][] means)
Constructor.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected Logging
getLogger()
Get the class logger.protected int
iterate(int iteration)
Main loop function.-
Methods inherited from class elki.clustering.kmeans.AbstractKMeans.Instance
assignToNearestCluster, buildResult, buildResult, computeSquaredSeparation, copyMeans, distance, distance, distance, initialSeperation, meansFromSums, movedDistance, recomputeSeperation, recomputeVariance, run, sqrtdistance, sqrtdistance, sqrtdistance
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Constructor Detail
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Instance
public Instance(Relation<? extends NumberVector> relation, NumberVectorDistance<?> df, double[][] means)
Constructor.- Parameters:
relation
- Relationmeans
- Initial means
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Method Detail
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iterate
protected int iterate(int iteration)
Description copied from class:AbstractKMeans.Instance
Main loop function.- Specified by:
iterate
in classAbstractKMeans.Instance
- Parameters:
iteration
- Iteration number (beginning at 1)- Returns:
- Number of reassigned points
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getLogger
protected Logging getLogger()
Description copied from class:AbstractKMeans.Instance
Get the class logger.- Specified by:
getLogger
in classAbstractKMeans.Instance
- Returns:
- Logger
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