Class "kpca"
The Kernel Principal Components Analysis class
Objects can be created by calls of the form new("kpca", ...).
or by calling the kpca function.
pcv:Object of class "matrix" containing the
principal component vectors
eig:Object of class "vector" containing the
corresponding eigenvalues
rotated:Object of class "matrix" containing the
projection of the data on the principal components
kernelf:Object of class "function" containing
the kernel function used
kpar:Object of class "list" containing the
kernel parameters used
xmatrix:Object of class "matrix" containing
the data matrix used
kcall:Object of class "ANY" containing the
function call
n.action:Object of class "ANY" containing the
action performed on NA
signature(object = "kpca"): returns the eigenvalues
signature(object = "kpca"): returns the
performed call
signature(object = "kpca"): returns the used
kernel function
signature(object = "kpca"): returns the principal
component vectors
signature(object = "kpca"): embeds new data
signature(object = "kpca"): returns the
projected data
signature(object = "kpca"): returns the used
data matrix
Alexandros Karatzoglou
alexandros.karatzoglou@ci.tuwien.ac.at
# another example using the iris
data(iris)
test <- sample(1:50,20)
kpc <- kpca(~.,data=iris[-test,-5],kernel="rbfdot",
kpar=list(sigma=0.2),features=2)
#print the principal component vectors
pcv(kpc)
rotated(kpc)
kernelf(kpc)
eig(kpc)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.