test data using knn

Hi, I am using the algorithm of the nearest neighbor in my project, and I did the training process for the data stored in (data) .. Also, I have an matrix (A) size 24 * 80 and I want to use it in the test to get the value of accuracy

help me please

this is my code but need change

v2=[];

for i=1: num_sample %change here for the number of people in database

for j=21:39 %change here for the number of images per person

v2=[v2; reshape(double(imresize(dat{i,j},[10, 8])), m1*n1, 1)'];

%Temp=zeros(1,num_sample);

%Temp(1,i)=1;

Temp=i;

T2=[T2;Temp];

end

end

TestSet=v2;

TrainSet=v;

TrainSet_y=T;

TestSet_y=T2;

k=7;

Class = knnclassify(TestSet,TrainSet,TrainSet_y,k);

C=confusionmat(TestSet_y,Class);

acc_of_knn=sum(diag(C))/sum(C(:));

acc_of_knn=acc_of_knn*100