most frequent value in a 3D matrix other than 0

Dear all
I have got a 3D matrix, say A ( 100 by 100 by 20) containing elements of '0' , '1' , '2', '3', '4'.
I would like to know which elements happens the most frequent, except for '0'. My idea is to reshape the matrix to a vector using
A=reshape(A,100*100*20,1);
numbers = unique(A); % sorted occurrence
count=hist(A,numbers);
pointer = find(count == max(count(2:end))); % by using (2:end), I excluded the effect by '0'
value = numbers(pointer);
However, this seems redundant, any one have a better way to do that? Say, dealing with the 3D matrix straight. My 3D matrix will be very large....
Best
Yuan Chen

1 commentaire

aiman saad
aiman saad le 22 Juin 2016
hi every body , there is more simple built-in function , i just found that satisfy the title requirement : search the help for ( mode , M = mode(A,dim) ) Most frequent values in array good luck for all

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 Réponse acceptée

Azzi Abdelmalek
Azzi Abdelmalek le 19 Déc 2013
Modifié(e) : Azzi Abdelmalek le 19 Déc 2013
A=randi([0 4],100,100,20); %Example
[freq,number]=max(histc(A(:),1:4))

Plus de réponses (1)

Cedric
Cedric le 19 Déc 2013
Modifié(e) : Cedric le 19 Déc 2013
Here is an example..
>> A = randi(5,[3,4,2]) - 1
A(:,:,1) =
0 3 1 4
2 0 2 0
3 3 4 1
A(:,:,2) =
3 4 4 0
0 3 2 2
1 0 4 4
>> counts = accumarray( A(:)+1, ones(numel(A),1) ) % or HISTC
counts =
6
3
4
5
6
>> mostFrequent = find( counts == max(counts) ) - 1
mostFrequent =
0
4
EDIT: note that if you want to avoid taking 0's, you can do
>> mostFrequent = find( counts(2:end) == max(counts(2:end)) )
mostFrequent =
4
I kept zeros to show that several elements can be the most frequent, so whether you use Azzi's HISTC solution or my ACCUMARRAY approach, you shouldn't use the second output argument of MAX to get the most frequent element, otherwise you'll only get the first of them (if there are multiple).

3 commentaires

Yuan chen
Yuan chen le 19 Déc 2013
Thanks very much Cedirc :)
Cedric
Cedric le 19 Déc 2013
Modifié(e) : Cedric le 19 Déc 2013
Whether you use ACCUMARRAY or HISTC, it would actually be more efficient to create a vector of non-zero values first..
>> nz = A(A~=0) ;
>> counts = accumarray( nz, ones(size(nz)) ) ;
>> mostFrequent = find( counts == max(counts) )
mostFrequent =
4
Yuan chen
Yuan chen le 19 Déc 2013
Hi Cedric
That's very thoughtful, I was just thinking about that.!
Best

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