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CNN_kernel: fast adaptive density-aware kernel
CNN_kernel(mat, NN = 3, NN2 = 7)
Matrix: matrix should have samples as columns and rows as features
Numerical value: the number of nearest neighbours to use when calculating local sigma
Numerical value: the number of nearest neighbours to use when calculating common nearest neighbours
A kernel matrix
# NOT RUN { CNN_kern <- CNN_kernel(blobs[,1:50]) # }
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