Finding the row index of the closest match to a row vector in an array

For example

If we are having a row vector : [a b c]

and aray :

[q w e r c;

l v w e a

p w e r t];

Is there any way we can find the row index in the array closest to the defined row vector (matching 1st 3 column values or used defined columns)

Answer 1

[Jan]

search = randi([1, 10], 1, 3);
data   = randi([1, 10], 10, 4);

dist = vecnorm(data(:, 1:numel(search)) - search, 2, 2);  % Auto-expand, >= R2016b
[~, match] = min(dist);

disp(search)
disp(data(match, :))

This uses the Euclidian norm to determine the distance. Maybe you want another norm.

[Vinay Killamsetty]

Thanks a lot.