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Talk:Kernel principal component analysis

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This is an old revision of this page, as edited by 18.93.5.77 (talk) at 20:52, 2 July 2007 (On redirection to SVM). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

On redirection to SVM

What is the relationship between kernel PCA and SVMs? I don't see any direct connection. //Memming 15:50, 17 May 2007 (UTC)[reply]

There is no relation, this is a common mistake. Not every kernel points to an SVM. Kernel is a more common thing in math.
Then I'll break the redirection to SVM. //Memming 12:00, 21 May 2007 (UTC)[reply]

Data reduction in the feature space

In the litterature, I found the way to center the input data in the feature space. Nevertheless, I never found a way to reduce the data in the feature space, so if anyone has knowledge about it, I would be glad if he could explain that toppic here or give few links