Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic |
Outlier detection algorithms based on intrinsic dimensionality.
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de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms.
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de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality |
Methods for estimating the intrinsic dimensionality.
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Class and Description |
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IntrinsicDimensionalityEstimator
Estimate the intrinsic dimensionality from a distance list.
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Class and Description |
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IntrinsicDimensionalityEstimator
Estimate the intrinsic dimensionality from a distance list.
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Class and Description |
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AbstractIntrinsicDimensionalityEstimator
Abstract base class for ID estimators.
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AggregatedHillEstimator
Estimator using the weighted average of multiple hill estimators.
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EnsembleEstimator
Ensemble estimator taking the median of three of our best estimators.
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GEDEstimator
Generalized Expansion Dimension for estimating the intrinsic dimensionality.
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HillEstimator
Hill estimator of the intrinsic dimensionality (maximum likelihood estimator
for ID).
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IntrinsicDimensionalityEstimator
Estimate the intrinsic dimensionality from a distance list.
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LMomentsEstimator
Probability weighted moments based estimator using L-Moments.
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MOMEstimator
Methods of moments estimator, using the first moment (i.e. average).
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PWM2Estimator
Probability weighted moments based estimator, using the second moment.
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PWMEstimator
Probability weighted moments based estimator.
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RVEstimator
Regularly Varying Functions estimator of the intrinsic dimensionality
Reference:
L.
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ZipfEstimator
Zipf estimator (qq-estimator) of the intrinsic dimensionality.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.