determineweights.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 WeightValues = DetermineWeights(Ytr,MLKP);

[Nobj,Nvar]=size(Ytr);
if (upper(MLKP.ProblemType) == 'REG' | MLKP.PowerFact == 0.0)
    WeightValues = ones(Nobj,1);
    return
end

WeightValues=zeros(Nobj,1);
CumSum = zeros(Nvar,1);
for iobj=1:Nobj
    [Dummy,RealClass] = max(Ytr(iobj,:));
    CumSum(RealClass) = CumSum(RealClass)+1;
end
CumSum = Nobj ./ CumSum;
CumTot = sum(CumSum);
CumSum = CumSum/CumTot;
CumTot = max(CumSum);

for iobj=1:Nobj
    [Dummy, RealClass] = max(Ytr(iobj,:));
    WeightValues(iobj) = (CumSum(RealClass)/CumTot)^MLKP.PowerFact;
end