parzenwindowdensityestimator.asv

pazen window分类器

function [estimatedDensity] = parzenWindowDensityEstimator(trainingData,testingData,windowWidth);



[m,n]=size(trainingData);
trainingdata=trainingData(m,n-1);

numoffeature=n-1;

[p,q]=size(testingData);
testingdata=testingData(p,q-1);

%Class=trainingData(:,end);

trainingdataofclass1=traingdata(:,trainingData(:,3)==0);
trainingdataofclass2=traingdata(:,trainingData(:,3)==1);


varofclass1=zeros(2,2);
varofclass2=zeros(2,2);

for i=1:2

varofclass1(i,i)=var(TrainData1(:,i));
varofclass2(i,i)=var(TrainData2(:,i));
end


estimatedDensity=zeros(p,2);

for i=1:p
    
    x=testingdata(i,1:2)

       
        xM=ones(m,1)*x;
       xN=xM-trainindataofclass1;
       
       estimatedDensity(i,1)=mean(