rbf classification
2016-08-23
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function H = rbfDesign(X, C, R, options)
% H = rbfDesign(X, C, R, options)
%
% Gets the design matrix from the input data, centre positions
% and radii factors.
%
% Input
% X Input training data (n-by-p)
% C List of centres (n-by-m)
% R Scale factors: scalar, n-vector, or n-by-n matrix
% opt Specifying basis function type ('g' for Gaussian,
% 'c' for Cauchy) and whether bias unit is rquired
% (if yes then 'b').
%
% Output
% H Design matrix (p-by-m)
% default function type
% 'g' = gaussian
% H = rbfDesign(X, C, R, options)
%
% Gets the design matrix from the input data, centre positions
% and radii factors.
%
% Input
% X Input training data (n-by-p)
% C List of centres (n-by-m)
% R Scale factors: scalar, n-vector, or n-by-n matrix
% opt Specifying basis function type ('g' for Gaussian,
% 'c' for Cauchy) and whether bias unit is rquired
% (if yes then 'b').
%
% Output
% H Design matrix (p-by-m)
% default function type
% 'g' = gaussian
matlab
分类
神经网络
RBF
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