Distances API Reference
Functions
ChemometricsTools.Kernel — Method.(K::Kernel)(X)This is a convenience function to allow for one-line construction of kernels from a Kernel object K and new data X.
ChemometricsTools.EuclideanDistance — Method.EuclideanDistance(X, Y)Returns the euclidean distance matrix of X and Y such that the columns are the samples in Y.
ChemometricsTools.EuclideanDistance — Method.EuclideanDistance(X)Returns the Grahm aka the euclidean distance matrix of X.
ChemometricsTools.GaussianKernel — Method.GaussianKernel(X, Y, sigma)Creates a Gaussian/RBF kernel from Arrays X and Y with hyperparameter sigma.
ChemometricsTools.GaussianKernel — Method.GaussianKernel(X, sigma)Creates a Gaussian/RBF kernel from Array X using hyperparameter sigma.
ChemometricsTools.LinearKernel — Method.LinearKernel(X, Y, c)Creates a Linear kernel from Arrays X and Y with hyperparameter C.
ChemometricsTools.LinearKernel — Method.LinearKernel(X, c)Creates a Linear kernel from Array X and hyperparameter C.
ChemometricsTools.ManhattanDistance — Method.ManhattanDistance(X, Y)Returns the Manhattan distance matrix of X and Y such that the columns are the samples in Y.
ChemometricsTools.ManhattanDistance — Method.ManhattanDistance(X)Returns the Manhattan distance matrix of X.
SquareEuclideanDistance(X, Y)Returns the squared euclidean distance matrix of X and Y such that the columns are the samples in Y.
SquareEuclideanDistance(X)Returns the squared Grahm aka the euclidean distance matrix of X.