ppgmmga-class: Class "ppgmmga"
In luca-scr/ppgmmga: Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms
Description
Objects from the class
Values
Author(s)
See Also
Description
An S3 class object for ppgmmga algorithm
Objects from the class
Object can be created by calls to the ppgmmga function.
Values
- data
The input data matrix.
- d
The dimension of the projection subspace.
- approx
The type of approximation used for computing negentropy.
- GMM
An object of class 'densityMclust' containing the Gaussian mixture density estimation. See densityMclust for details.
- GA
An object of class 'ga' containing the Genetic Algorithm search. See ga for details.
- Negentropy
The value of maximised negentropy.
- basis
The matrix basis of the projection subspace.
- Z
The matrix of projected data.
Author(s)
Serafini A. srf.alessio@gmail.com
Scrucca L. luca.scrucca@unipg.it
See Also
ppgmmga, plot.ppgmmga, summary.ppgmmga
luca-scr/ppgmmga documentation built on Oct. 2, 2021, 12:02 p.m.
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Description Objects from the class Values Author(s) See Also
Description
An S3 class object for ppgmmga algorithm
Objects from the class
Object can be created by calls to the ppgmmga function.
Values
- data
The input data matrix.
- d
The dimension of the projection subspace.
- approx
The type of approximation used for computing negentropy.
- GMM
An object of class
'densityMclust'containing the Gaussian mixture density estimation. SeedensityMclustfor details.- GA
An object of class
'ga'containing the Genetic Algorithm search. Seegafor details.- Negentropy
The value of maximised negentropy.
- basis
The matrix basis of the projection subspace.
- Z
The matrix of projected data.
Author(s)
Serafini A. srf.alessio@gmail.com
Scrucca L. luca.scrucca@unipg.it
See Also
ppgmmga, plot.ppgmmga, 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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