Kernel Principal Components Analysis example

Hi everyone, I am attaching an example workflow with an example of the kpca (Kernel Principal Components Analysis), that comes with the kernlab library.

One issue with kpca is that its quite difficult to apply on “large” datasets, at least with the configuration used. Probably with a different configuration the process can be faster.

Hope it helps

KPCA.knwf (401.6 KB)

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Hi @mauuuuu5 -

Have you considered uploading this to the KNIME Hub? Brief instructions are here if you haven’t tried that yet. :slight_smile:

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Will do Scott, thanks

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