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SVMSvmKernelType Enumeration
SVM kernel type

Namespace:  Emgu.CV.ML
Assembly:  Emgu.CV.World (in Emgu.CV.World.dll) Version: (
public enum SvmKernelType
  Member nameValueDescription
Custom-1 Custom svm kernel type
Linear0 No mapping is done, linear discrimination (or regression) is done in the original feature space. It is the fastest option. d(x,y) = x y == (x,y)
Poly1 polynomial kernel: d(x,y) = (gamma*(xy)+coef0)^degree
Rbf2 Radial-basis-function kernel; a good choice in most cases: d(x,y) = exp(-gamma*|x-y|^2)
Sigmoid3 sigmoid function is used as a kernel: d(x,y) = tanh(gamma*(xy)+coef0)
Chi24 Exponential Chi2 kernel, similar to the RBF kernel
Inter5 Histogram intersection kernel. A fast kernel. K(xi,xj)=min(xi,xj).
See Also