Some observations...
for j=1:length(tedata)
y=cell2mat(tedata(j)); % move out of _i_ loop; invariant w/ i
for i=1:length(trdata)
x=cell2mat(trdata(i));
similarity=norm(x-y); % use builtin function
if similarity > 180
similarity=similarity-360;
elseif similarity < -180
similarity=similarity+360;
end
kk(i)=similarity;
end
[result indxofmin] =min(kk);
Your code is missing closing end for j loop; presume is at end but you're not saving the result kk for each j; instead overwriting each loop.
similarity = sqrt(sum((x-y).^ 2));
or, more succinctly,
similarity = norm(x-y);
...
elseif similarity < -180
similarity=similarity+360;
similarity can never be <0; the square operation ensures is always positive, so that condition is totally superfluous.
As for the other, depending on x,y values, it's quite possible that norm(x-y) is never >180 so the condition is never met.
