The histogram intersection kernel would work well and it has no parameters Sent from my iPad
On Jul 14, 2011, at 2:38 AM, Vckay <[email protected]> wrote: > I am clustering some real world text data using K-Means. I recently came > across Kernel K-Means and wanted to know if someone who has had experience > with Kernels could comment on their appropriateness for text data, i.e, > Would using a Kernel boost k-means quality? ( I know this is rather general > but it is sort of hard to figure out if my high dimensional real world data > is linearly separable.) If so, are there any Kernel's with "practically > accepted" parameters? > > Thanks > VC
