kernel PCA with Kernlab r , out of memory error -


trying apply kernel pca kernlab in r on 12*250,000 data set

 kpc <- kpca(~.,csv.data,kernel="rbfdot",kpar=list(sigma=0.2),features=2)

getting bellow error 

error: cannot allocate vector of size 604.1 gb in addition: warning messages: 1: in crossprod(t(x)) :   reached total allocation of 16305mb: see help(memory.size) 2: in crossprod(t(x)) :   reached total allocation of 16305mb: see help(memory.size) 3: in crossprod(t(x)) :   reached total allocation of 16305mb: see help(memory.size) 4: in crossprod(t(x)) :   reached total allocation of 16305mb: see help(memory.size)

any suggestion how can manage run algorithm on such large data set?

thanks.


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