How can i get almost similar row from amatrix

I have a row

h=[.9 .5 .4 .3]

and matrix q where q is 4by4 matrix

q=[0.8997    0.1997    0.4985   -0.6996;     0.9912    0.2203    0.5516   -0.7693;
   0.9980    0.2219    0.5543   -0.7748;    0.9987    0.2235    0.5556   -0.7791]

how to compute a row which is the most similar row of h in matlab.

Answer 1

[Jos (10584)]

You have to define "similar" more strictly! Here I have take the norm as the similarity measure, but there are other alternatives

% some data
q = randi(5,10,4) 
h = randi(5,1,4)
% q(2,:) = h % uncomment to check that minRow will be this row of q

% engine
simFun = @(x) norm(x-h,2) % similarity measure between x and h
simM = arrayfun(@(k) simFun(q(k,:)),1:size(q,1)) % loop over each row of q
[minVal, minRow] = min(simM)

You could put all this in a single line (which is harder to understand and debug).