| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.data.synthetic.bymodel | 
 Generator using a distribution model specified in an XML configuration file. 
 | 
| de.lmu.ifi.dbs.elki.datasource.filter | 
 Data filtering, in particular for normalization and projection. 
 | 
| de.lmu.ifi.dbs.elki.math.statistics.distribution | 
 Standard distributions, with random generation functionalities. 
 | 
| Class and Description | 
|---|
| DistributionWithRandom
 Distribution that also has support for generating random numbers. 
 | 
| Class and Description | 
|---|
| ExponentialDistribution
 Exponential distribution. 
 | 
| Class and Description | 
|---|
| ChiSquaredDistribution
 Chi-Squared distribution (a specialization of the Gamma distribution). 
 | 
| Distribution
 Statistical distributions, with their common functions. 
 | 
| DistributionEstimator
 Estimate distribution parameters from a sample. 
 | 
| DistributionWithRandom
 Distribution that also has support for generating random numbers. 
 | 
| ExponentiallyModifiedGaussianDistribution
 Exponentially modified Gaussian (EMG) distribution (ExGaussian distribution)
 is a combination of a normal distribution and an exponential distribution. 
 | 
| ExponentiallyModifiedGaussianDistribution.OlivierNorbergEstimator
 Naive distribution estimation using mean and sample variance. 
 | 
| GammaDistribution
 Gamma Distribution, with random generation and density functions. 
 | 
| GammaDistribution.ChoiWetteEstimator
 Estimate distribution parameters using the method by Choi and Wette. 
 | 
| GammaDistribution.MADEstimator
 Robust parameter estimation for the Gamma distribution. 
 | 
| GammaDistribution.NaiveEstimator
 Simple parameter estimation for the Gamma distribution. 
 | 
| LogGammaDistribution
 Gamma Distribution, with random generation and density functions. 
 | 
| LogGammaDistribution.ChoiWetteEstimator
 Estimate distribution parameters using the method by Choi and Wette. 
 | 
| LogGammaDistribution.MADEstimator
 Robust parameter estimation for the LogGamma distribution. 
 | 
| LogGammaDistribution.NaiveEstimator
 Simple parameter estimation for the Gamma distribution. 
 | 
| LogNormalDistribution
 Log-Normal distribution. 
 | 
| LogNormalDistribution.LevenbergMarquardtKDEEstimator
 Distribution parameter estimation using Levenberg-Marquardt iterative
 optimization and a kernel density estimation. 
 | 
| LogNormalDistribution.MADEstimator
 Estimator using Medians. 
 | 
| LogNormalDistribution.NaiveEstimator
 Naive distribution estimation using mean and sample variance. 
 | 
| NormalDistribution
 Gaussian distribution aka normal distribution 
 | 
| NormalDistribution.LevenbergMarquardtKDEEstimator
 Distribution parameter estimation using Levenberg-Marquardt iterative
 optimization and a kernel density estimation. 
 | 
| NormalDistribution.MADEstimator
 Estimator using Medians. 
 | 
| NormalDistribution.NaiveEstimator
 Naive distribution estimation using mean and sample variance. 
 | 
| UniformDistribution
 Uniform distribution. 
 | 
| UniformDistribution.NaiveMinMaxEstimator
 Estimate the uniform distribution by computing min and max. 
 | 
| UniformDistribution.RefinedMinMaxEstimator
 Slightly improved estimation, that takes sample size into account. 
 |