kpca-class function

Class "kpca"

The Kernel Principal Components Analysis class class

Objects of class "kpca"

Objects can be created by calls of the form new("kpca", ...). or by calling the kpca function.

Slots

• 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

Methods

• eig: signature(object = "kpca"): returns the eigenvalues
• kcall: signature(object = "kpca"): returns the performed call
• kernelf: signature(object = "kpca"): returns the used kernel function
• pcv: signature(object = "kpca"): returns the principal component vectors
• predict: signature(object = "kpca"): embeds new data
• rotated: signature(object = "kpca"): returns the projected data
• xmatrix: signature(object = "kpca"): returns the used data matrix

Author(s)

Alexandros Karatzoglou

alexandros.karatzoglou@ci.tuwien.ac.at

See Also

ksvm-class, kcca-class

Examples

# 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)