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'closeness' of multiple vectors

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Philip
Philip on 22 Apr 2012
Is there a way to compute how 'closely' a data vector matches another? For example:
A = [1 2 3 4 5];
B = [1 2 3 4 5];
C = [6 7 8 9 10];
Can I use vector A to compare the closeness against vector B, and then vector C? For (A,B), the closeness should be 100%, where as for (A,C) it should be 0%...

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Accepted Answer

Richard Brown
Richard Brown on 22 Apr 2012
Is closeness a measure of how many entries match in matching positions? In this case:
closeness = @(x, y) nnz(x == y) / numel(x);
A = [1 2 3 4 5];
B = [1 2 3 4 5];
C = [6 7 8 9 10];
closeness(A, B)
closeness(A ,C)
If your vectors can have noninteger entries, then to mitigate against floating point errors you'd replace x == y with abs(x - y) < tol * abs(x) where tol is something small, like 1e-14.

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Walter Roberson
Walter Roberson on 22 Apr 2012
closeness = @(x,y) mean(x(:)==y(:));
Richard Brown
Richard Brown on 23 Apr 2012
haha, yes that's better :)
Philip
Philip on 23 Apr 2012
That's perfect! Thanks to you both for your quick answers!!

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