Uses of Package
de.lmu.ifi.dbs.elki.math

Packages that use de.lmu.ifi.dbs.elki.math

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan	Generalized DBSCAN Generalized DBSCAN is an abstraction of the original DBSCAN idea, that allows the use of arbitrary "neighborhood" and "core point" predicates.
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased	Angle-based outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering	Clustering based outlier detection.
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic	Outlier detection algorithms based on intrinsic dimensionality.
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.projection	Data projections (see also preprocessing filters for basic projections).
de.lmu.ifi.dbs.elki.algorithm.statistics	Statistical analysis algorithms.
de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise	Normalizations operating on columns / variates; where each column is treated independently.
de.lmu.ifi.dbs.elki.datasource.filter.transform	Data space transformations
de.lmu.ifi.dbs.elki.evaluation.clustering	Evaluation of clustering results
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.math	Mathematical operations and utilities used throughout the framework
de.lmu.ifi.dbs.elki.math.geometry	Algorithms from computational geometry
de.lmu.ifi.dbs.elki.math.statistics.dependence	Statistical measures of dependence, such as correlation
de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator	Estimators for statistical distributions.
de.lmu.ifi.dbs.elki.math.statistics.tests	Statistical tests
de.lmu.ifi.dbs.elki.parallel.processor	Processor API of ELKI, and some essential shared processors.
de.lmu.ifi.dbs.elki.utilities.scaling	Scaling functions: linear, logarithmic, gamma, clipping, ...

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

Class and Description
MeanVariance Do some simple statistics (mean, variance) using a numerically stable online algorithm.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased

Class and Description
DoubleMinMax Class to find the minimum and maximum double values in data.
MeanVariance Do some simple statistics (mean, variance) using a numerically stable online algorithm.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.algorithm.outlier.clustering

Class and Description
DoubleMinMax Class to find the minimum and maximum double values in data.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic

Class and Description
DoubleMinMax Class to find the minimum and maximum double values in data.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Class and Description
DoubleMinMax Class to find the minimum and maximum double values in data.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.algorithm.projection

Class and Description
Mean Compute the mean using a numerically stable online algorithm.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.algorithm.statistics

Class and Description
DoubleMinMax Class to find the minimum and maximum double values in data.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise

Class and Description
MeanVariance Do some simple statistics (mean, variance) using a numerically stable online algorithm.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.datasource.filter.transform

Class and Description
MeanVarianceMinMax Class collecting mean, variance, minimum and maximum statistics.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.evaluation.clustering

Class and Description
MeanVariance Do some simple statistics (mean, variance) using a numerically stable online algorithm.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.index.preprocessed.knn

Class and Description
Mean Compute the mean using a numerically stable online algorithm.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.math

Class and Description
DoubleMinMax Class to find the minimum and maximum double values in data.
IntegerMinMax Class to find the minimum and maximum int values in data.
Mean Compute the mean using a numerically stable online algorithm.
MeanVariance Do some simple statistics (mean, variance) using a numerically stable online algorithm.
MeanVarianceMinMax Class collecting mean, variance, minimum and maximum statistics.
SinCosTable Class to precompute / cache Sinus and Cosinus values.
StatisticalMoments Track various statistical moments, including mean, variance, skewness and kurtosis.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.math.geometry

Class and Description
DoubleMinMax Class to find the minimum and maximum double values in data.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.math.statistics.dependence

Class and Description
SinCosTable Class to precompute / cache Sinus and Cosinus values.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Class and Description
DoubleMinMax Class to find the minimum and maximum double values in data.
MeanVariance Do some simple statistics (mean, variance) using a numerically stable online algorithm.
StatisticalMoments Track various statistical moments, including mean, variance, skewness and kurtosis.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.math.statistics.tests

Class and Description
MeanVariance Do some simple statistics (mean, variance) using a numerically stable online algorithm.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.parallel.processor

Class and Description
DoubleMinMax Class to find the minimum and maximum double values in data.

Classes in de.lmu.ifi.dbs.elki.math used by de.lmu.ifi.dbs.elki.utilities.scaling

Class and Description
DoubleMinMax Class to find the minimum and maximum double values in data.