One way to deal with this is usually to aggregate the dataset and fill the kernel with resources for those clustersin. Since this method can also provide a relatively large K value, usually only the highest eigenvalues ​​of P are computed and possibly thus the eigenvectors of the eigenvalues ​​are computed.