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What is the description of the algorithm that MATLAB uses to determine 'auto" Kernel scale in SVM Classification Learner?

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I am looking for a pointer (maybe a paper?) that describes the "heuristics subsampling" algorithm that MATLAB uses to determine the KernelScale in their Classification Learner app -- specifically SVMs using an RBF Kernel with the KernelScale = 'auto' option.
sh10101 on 23 Oct 2017
I am wondering if you had any luck finding an explanation for the 'auto kernel scale' setting in the "templateSVM" function documentation, as suggested by David?
thank you,

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Answers (1)

David Ding
David Ding on 28 Apr 2017
Perhaps you can check out the six papers listed under the "templateSVM" function in MATLAB documentation:
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Zeynab Mousavikhamene
Zeynab Mousavikhamene on 21 Apr 2020
I have the same question as r00sk0. The answer you provided are refernces for templateSVM which I dont think is related to the question asked above. We wan to know what ar the "heuristic subsampling" steps? description to this procedure.

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