kha-class function

Class "kha"

The Kernel Hebbian Algorithm class class

Objects objects of class "kha"

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

Slots

• pcv:: Object of class "matrix" containing the principal component vectors
• eig:: Object of class "vector" containing the corresponding normalization values
• eskm:: Object of class "vector" containing the kernel sum
• kernelf:: Object of class "kfunction" 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 = "kha"): returns the normalization values
• kcall: signature(object = "kha"): returns the performed call
• kernelf: signature(object = "kha"): returns the used kernel function
• pcv: signature(object = "kha"): returns the principal component vectors
• eskm: signature(object = "kha"): returns the kernel sum
• predict: signature(object = "kha"): embeds new data
• xmatrix: signature(object = "kha"): returns the used data matrix

Author(s)

Alexandros Karatzoglou

alexandros.karatzoglou@ci.tuwien.ac.at

See Also

kha, ksvm-class, kcca-class

Examples

# another example using the iris
data(iris)
test <- sample(1:50,20)

kpc <- kha(~.,data=iris[-test,-5], kernel="rbfdot",
           kpar=list(sigma=0.2),features=2, eta=0.001, maxiter=65)

#print the principal component vectors
pcv(kpc)
kernelf(kpc)
eig(kpc)