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Last Post 09 Jun 2016 01:35 AM by  anon
SVM Using RBF Kernel
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anon



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Posts:8
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09 Jun 2016 01:35 AM
    I'm a new user of ENVI 5.1. I have a question about the implementation of the supervised classification method SVM. I'm trying to run grid search cross-validation in order to identify the optimal C and gamma parameters for the RBF kernel. Here are my questions: 1- How to select best kernel parameters for Radial basis function of SVM by grid search cross-validation using ENVI 5.1? 2- I have sample areas. How do I separate these sample areas as training set, cross validation set and test set?

    MariM



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    Posts:2396
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    09 Jun 2016 08:32 AM
    You might find this help article useful: http://www.harrisgeospati...cleID/4267/4267.aspx
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