Keep only elements that appear multiple times
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Hey everyone, been banging my head against this for awhile and can't come up with something efficient.
I have a large matrix, roughly 1000x1000, and I want to discard all elements (or replace with 0) that don't appear in the matrix at least three times. Additionally, I'm trying to allow for an error range so that, say, 10.1 and 9.9 (some arbitrary interval) will count as "10" (but this is secondary to the original problem).
I'm guessing that my main issue is that rewriting/editing a matrix is computationally expensive. The only solution I came up with involved numel in a loop, which is dreadfully slow.
Thanks for looking, advice is appreciated!
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Roger Stafford
am 12 Jun. 2013
Here's a modification of Azzi's code that avoids the 'ismember' call.
[B,~,p] = unique(A(:));
t = histc(A(:),B)<3;
A(t(p)) = 0;
Roger Stafford
am 13 Jun. 2013
This version uses the 'sort' function instead of 'unique' and 'histc'. Consequently it might be faster.
[B,p] = sort(A(:));
p(p) = 1:length(p);
t = [true;diff(B)~=0;true];
q = cumsum(t);
t = diff(find(t))<3;
A(t(q(p))) = 0;
Andrei Bobrov
am 13 Jun. 2013
[a,b] = histc(A(:),unique(A));
A(a(b) < 3) = 0;
Azzi Abdelmalek
am 12 Jun. 2013
Bearbeitet: Azzi Abdelmalek
am 12 Jun. 2013
A=[1 2 1 1;1 2 3 1;3 3 3 3;3 0 0 1];
B=unique(A(:));
A(ismember(A(:),B(histc(A(:),B)<3)))=0
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