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Support vector machine

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Hello,

 

I would like to use custom classification utilizing the SVM models. The documentation to these VIs is basic, is there any place, where I can explore the whole algorithm and see all steps involved ?

 

Is it suitable to use these VIs for many single class classifiers or is it intended to be used only as one multiclass ?

 

Is there any vector normalization built in ?

 

How are the resulting scores computed ?

 

Glad for any answers. Thank you.

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Accepted by topic author Bublina

Hi,

 

There is a good summary on the algorithms: http://zone.ni.com/reference/en-XX/help/372916M-01/nivisionconcepts/supportvectormachines/

 

If this still won't answer your questions, post them, and we try to figure them out.

 

 

Have a nice day,

Norbert

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Thanks, this covers all I need to know.

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