Large Datasets
In practice, a large data set leads to a large K, and storing K may become a problem. One way to deal with this is to perform clustering on your large dataset, and populate the kernel with the means of those clusters. Since even this method may yield a relatively large K, it is common to compute only the top P eigenvalues and eigenvectors of K.
Read more about this topic: Kernel Principal Component Analysis
Famous quotes containing the word large:
“The hearts of Afro-American women are too warm and too large for race hatred. Long suffering has so chastened them that they are developing a special sense of sympathy for all who suffer and fail of justice.”
—Fannie Barrier Williams (1855–1944)