| kha-class {kernlab} | R Documentation |
The Kernel Hebbian Algorithm class
Objects can be created by calls of the form new("kha", ...).
or by calling the kha function.
pcv:"matrix" containing the
principal component vectors eig:"vector" containing the
coresponding normalization valueseskm:"vector" containing the
kernel sumkernelf:"kfunction" containing
the kernel function usedkpar:"list" containing the
kernel parameters used xmatrix:"matrix" conatining
the data matrix used kcall:"ANY" containing the
function call n.action:"ANY" containg the
action performed on NA signature(object = "kha"): returns the
normalization values signature(object = "kha"): returns the
performed callsignature(object = "kha"): returns the used
kernel functionsignature(object = "kha"): returns the principal
component vectors signature(object = "kha"): returns the kernel sumsignature(object = "kha"): embeeds new data signature(object = "kha"): 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 <- kha(~.,data=iris[-test,-5], kernel="rbfdot", kpar=list(sigma=0.2),features=2) #print the principal component vectors pcv(kpc) kernelf(kpc) eig(kpc)