Hi all, I'm trying to determine if it's possible to optimize the value of k using the k-nearest neighbor portion of the TrainImagesClassifier? Basically I have some vector AOI's I used to generate spectral signatures plus a 6 band Landsat Image. Based on the confusion matrix that is output I'm assuming some kind of cross-validation is occurring when I run it but I'm not sure what type it is. Would like to know the type of cross validation, if the euclidean distance is being used as the distance metric and if neighbors are proportionally weighted?
Any responses or suggestions would be helpful. Thank you! -Jake -- -- Check the OTB FAQ at http://www.orfeo-toolbox.org/FAQ.html You received this message because you are subscribed to the Google Groups "otb-users" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/otb-users?hl=en --- You received this message because you are subscribed to the Google Groups "otb-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
