Uses of Class
com.imsl.datamining.supportvectormachine.DataNode

Packages that use DataNode

Package	Description
com.imsl.datamining.supportvectormachine	Support vector machines.

Uses of DataNode in com.imsl.datamining.supportvectormachine

Methods in com.imsl.datamining.supportvectormachine with parameters of type DataNode

Modifier and Type	Method	Description
protected double	Kernel.dot(DataNode[] x, DataNode[] y)	Calculates the dot product between two DataNode arrays.
abstract double	Kernel.kernelFunction(DataNode[][] x, int i, int j)	Abstract method to calculate the kernel function between two DataNode arrays.
abstract double	Kernel.kernelFunction(DataNode[] x, DataNode[] y)	Abstract method to calculate the kernel function between two DataNode arrays.
double	LinearKernel.kernelFunction(DataNode[][] x, int i, int j)	Calculates the kernel function between two DataNodes.
double	LinearKernel.kernelFunction(DataNode[] x, DataNode[] y)	Calculates the kernel function between two DataNodes.
double	PolynomialKernel.kernelFunction(DataNode[][] x, int i, int j)	Calculates the kernel function between two DataNodes.
double	PolynomialKernel.kernelFunction(DataNode[] x, DataNode[] y)	Calculates the kernel function between two DataNodes.
double	RadialBasisKernel.kernelFunction(DataNode[][] x, int i, int j)	Calculates the kernel function between two DataNodes.
double	RadialBasisKernel.kernelFunction(DataNode[] x, DataNode[] y)	Calculates the kernel function between two DataNodes.
double	SigmoidKernel.kernelFunction(DataNode[][] x, int i, int j)	Calculates the kernel function between two DataNodes.
double	SigmoidKernel.kernelFunction(DataNode[] x, DataNode[] y)	Calculates the kernel function between two DataNodes.
protected abstract SVModel	SupportVectorMachine.optimize(DataNode[][] x, double[] y, double[] w, int len, Kernel kernel)	Abstract method to perform the support vector machine optimization.
protected SVModel	SVClassification.optimize(DataNode[][] x, double[] y, double[] w, int len, Kernel kernel)	Performs the classification support vector machine optimization problem.
protected SVModel	SVOneClass.optimize(DataNode[][] x, double[] y, double[] w, int len, Kernel kernel)	Performs the one class support vector machine optimization problem.
protected SVModel	SVRegression.optimize(DataNode[][] x, double[] y, double[] w, int len, Kernel kernel)	Performs the regression support vector machine optimization problem.