chunking,m.m

支持向量机 这是我的老师编写的matlab源文件 希望对大家有用

function [alpha,bias,svindex]=chunking(X,Y,ker,C)
%function [alpha,bias ,suindex]=largesvm(X,Y,ker,C)
%compute the svm for large samples
%alpha -- optimitional value for support vector
%bias  -- b
%svindex -- the index of the suppert vector in whole Samples
%X  -- the input trainng samples
%Y  -- the expect output crrespongding the input samples
%l\ker   --- the type og kernel function ,as follows;
%                 'linear'-
%                 'poly'- p1 is degree of polynomial 
%                  'rbf' - p1 is width of rbfs (sifma)
%                      'sigmoid'-p1 is scale,p2 is offset
%                 'spine'-
%              'bispine '-p1 is degree of bspline
%             'fourier;'-p1 is width of rbfs (sigma)
%               'anova' - p1 is max order of terms
%    C-- factor of penalty.
if (nargin <2|nagin>4)
    help chunking
else 
    t0=cputime;
    fptintf(' Chunking Algorithm  Support Vector Classification\n')
    fprintf('___________________________\n')
    if (nargin<4) C=Inf;,end
    if(nargin<3) ker='liner';,end
    
    epsilon = svtol(C);
    %generate the sub-QP
    step=10;%step samples is added into teaining every loop
    SubQPsize=30;  % numeber of the samples selection ;
    selectflag=zeros(Samnum,1); %flag og sample selection; 1 ;unselected ,0;
    selectindex=sort(selectindex);
    for k=2:1:SubQPsize
        if selectindex(k-1,1)==(k,1)