This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a future release. If you are interested in learning more, attending our workshops or webinars or using our data analysis services please contact bmchnon…

Interpolate grain boundary properties in a 5 degree-of-freedom sense via a novel distance metric.

Hepatitis Disease Detection Using SVM,KNN,ANN Algorithms implemented in MatLab.

Distance metric learning with the Universum

An approach to supervised distance metric learning based on difference of convex functions programming