Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
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de.lmu.ifi.dbs.elki.math.histograms |
Classes for computing histograms.
|
Modifier and Type | Method and Description |
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private double[] |
LMCLUS.findAndEvaluateThreshold(FlexiHistogram<Double,Double> histogram)
Evaluate the histogram to find a suitable threshold
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Modifier and Type | Method and Description |
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static FlexiHistogram<DoubleDoublePair,DoubleDoublePair> |
FlexiHistogram.DoubleSumDoubleSumHistogram(int bins)
Histograms that work like two
DoubleSumHistogram(int) , component wise. |
static FlexiHistogram<Double,Double> |
FlexiHistogram.DoubleSumHistogram(int bins)
Convenience constructor for Double-based Histograms.
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static FlexiHistogram<Integer,Integer> |
FlexiHistogram.IntSumHistogram(int bins)
Convenience constructor for Integer-based Histograms.
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static FlexiHistogram<IntIntPair,IntIntPair> |
FlexiHistogram.IntSumIntSumHistogram(int bins)
Histograms that work like two
IntSumHistogram(int) , component wise. |
static FlexiHistogram<Long,Long> |
FlexiHistogram.LongSumHistogram(int bins)
Convenience constructor for Long-based Histograms.
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static FlexiHistogram<Pair<Long,Long>,Pair<Long,Long>> |
FlexiHistogram.LongSumLongSumHistogram(int bins)
Histograms that work like two
LongSumHistogram(int) , component wise. |
static FlexiHistogram<MeanVariance,Double> |
FlexiHistogram.MeanVarianceHistogram(int bins)
Convenience constructor for
MeanVariance -based Histograms. |