AdaptGauss: Gaussian Mixture Models (GMM)

Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test.

AuthorMichael Thrun, Onno Hansen-Goos, Rabea Griese, Catharina Lippmann, Jorn Lotsch, Alfred Ultsch
Date of publication2016-06-30 18:16:06
MaintainerMichael Thrun <mthrun@mathematik.uni-marburg.de>
LicenseGPL-3
Version1.2.4
https://www.uni-marburg.de/fb12/datenbionik/software-en

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