ppgmmga-package: Projection pursuit based on Gaussian mixtures and...
In ppgmmga: Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms
ppgmmga-package R Documentation
Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
Description
An R package implementing a Projection Pursuit (PP) algorithm based on finite Gaussian Mixture Models (GMMs) for density estimation using Genetic Algorithms (GAs) to maximise an approximated negentropy index. The ppgmmga algorithm provides a method to visualise high-dimensional data in a lower-dimensional space.
Details
An introduction to ppgmmga package is provided in the accompaying vignette A quick tour of ppgmmga.
Author(s)
Serafini A. srf.alessio@gmail.com
Scrucca L. luca.scrucca@unipg.it
References
Scrucca, L. and Serafini, A. (2019) Projection pursuit based on Gaussian mixtures and evolutionary algorithms. Journal of Computational and Graphical Statistics, 28:4, 847–860. DOI: 10.1080/10618600.2019.1598871
See Also
ppgmmga, plot.ppgmmga, ppgmmga-class, ppgmmga.options, summary.ppgmmga
ppgmmga documentation built on Nov. 18, 2023, 1:12 a.m.
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| ppgmmga-package | R Documentation |
Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
Description
An R package implementing a Projection Pursuit (PP) algorithm based on finite Gaussian Mixture Models (GMMs) for density estimation using Genetic Algorithms (GAs) to maximise an approximated negentropy index. The ppgmmga algorithm provides a method to visualise high-dimensional data in a lower-dimensional space.
Details
An introduction to ppgmmga package is provided in the accompaying vignette A quick tour of ppgmmga.
Author(s)
Serafini A. srf.alessio@gmail.com
Scrucca L. luca.scrucca@unipg.it
References
Scrucca, L. and Serafini, A. (2019) Projection pursuit based on Gaussian mixtures and evolutionary algorithms. Journal of Computational and Graphical Statistics, 28:4, 847–860. DOI: 10.1080/10618600.2019.1598871
See Also
ppgmmga, plot.ppgmmga, ppgmmga-class, ppgmmga.options, summary.ppgmmga
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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