onstant with 1<=alpha<=2 used in approximation to neg-entropy when fun == "logcosh"
Iterations
maximum number of iterations to perform.
PlotIt
Default: FALSE, If TRUE: Plots the projection as a 2d visualization.
OutputDimension>2: only the first two dimensions will be shown
Cls
[1:n,1] Optional,: only relevant if PlotIt=TRUE. Numeric vector, given Classification in numbers: every element is the cluster number of a certain corresponding element of data.
Value
ProjectedPoints
[1:n,OutputDimension], n by OutputDimension matrix containing coordinates of the Projectio
Mixing
[1:OutputDimension,1:d] Mischungsmatrix s.d gilt Data=MixingMatrix*ProjectedPoints
Unmixing
Entmischungsmatrix with Data*Unmixing=ProjectedPoints
PCMatrix
pre-whitening matrix that projects data onto the first n.comp principal components.