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.
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations.
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased	Angle-based outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.statistics	Statistical analysis algorithms The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.)
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.dimensionsimilarity	Functions to compute the similarity of dimensions (or the interestingness of the combination).
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.datastructures.histogram	Classes for computing histograms.
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.clustering.kmeans

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.outlier.anglebased

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.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.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.dimensionsimilarity

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

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.utilities.scaling

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