averkohmap.m

有监督自组织映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用语多变量数据的回归分析

function [YMap] = AverKohMap(Xtr,XMap,Ytr,MLKP);

[NvarX,Nunit]=size(XMap);
[Nobjects,NvarY] = size(Ytr);

Count=zeros(Nunit,1);
YMap=zeros(NvarY,Nunit);

for iobj=1:Nobjects
    X=Xtr(iobj,:);
    Y=Ytr(iobj,:);
    [Value, Winner] = DetermineWinner(X,XMap,MLKP.DistTypeX,MLKP);
    YMap(:,Winner)= YMap(:,Winner)+Y';
    Count(Winner) = Count(Winner)+1;
end
for iunit=1:Nunit
    if (Count(iunit) > 0)
        YMap(:,iunit)=YMap(:,iunit)/Count(iunit);
    end
end