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.outlier	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.data	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.datasource.filter.normalization	Data normalization.
de.lmu.ifi.dbs.elki.evaluation.clustering	Evaluation of clustering results.
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.histograms	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.outlier

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.data

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

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.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.math

Class and Description
DoubleMinMax Class to find the minimum and maximum double 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.
MinMax 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.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.histograms

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.