kernelset.m

来自「各种SVM分类算法」· M 代码 · 共 44 行

function [K,dist]= kernelset(A,kernelsetoption,oneclassoption,B)

% USAGE
% 
% K= kernelset(A,B,kerneloption,oneclassoption)
%
%
% A cell de matrice
% B cell de matrice
%
%



verbose=0;
samedata=0;
if nargin<4
    B=A;
    samedata=1;
end;
nbA=length(A);
nbB=length(B);
for i=1:nbA
    [xsup{i},alpha{i},rho{i},pos,Ksup{i}]=svmoneclass(A{i},oneclassoption.kernel,oneclassoption.kerneloption,oneclassoption.nu,verbose);
end;
if ~samedata
    for j=1:nbB
         [xsup2{j},alpha2{j},rho2{j},pos2,Ksup2{j}]=svmoneclass(B{j}, oneclassoption.kernel,oneclassoption.kerneloption,oneclassoption.nu,verbose);
     end;    
     else
         xsup2=xsup;
         alpha2=alpha;
         rho2=rho;
         Ksup2=Ksup;
     end;
for i=1:nbA
    
    for j=1:nbB  
        
        switch kernelsetoption.method
            case 'des'
                %%   calcul de l'angle entre les centres
                %%  c1,c2
                % formulation