A = [1,4,2,5,10
2,4,5,6,2
2,1,5,6,10
2,3,5,4,2]
And I want split it into two matrix by the last column A ->B and C
B
Use accumarray
in combination with histc
:
% Example data (from Mohsen Nosratinia)
A = [...
1 4 2 5 10
2 4 5 6 2
2 1 5 6 10
2 3 5 4 2
0 3 1 4 9
1 3 4 5 1
1 0 4 5 9
1 2 4 3 1];
% Get the proper indices to the specific rows
B = sort(A(:,end));
[~,b] = histc(A(:,end), B([diff(B)>0;true]));
% Collect all specific rows in their specific groups
C = accumarray(b, (1:size(A,1))', [], @(r) {A(r,:)} );
Results:
>> C{:}
ans =
1 3 4 5 1
1 2 4 3 1
ans =
2 3 5 4 2
2 4 5 6 2
ans =
0 3 1 4 9
1 0 4 5 9
ans =
2 1 5 6 10
1 4 2 5 10
Note that
B = sort(A(:,end));
[~,b] = histc(A(:,end), B([diff(B)>0;true]));
can also be written as
[~,b] = histc(A(:,end), unique(A(:,end)));
but unique
is not built-in and is therefore likely to be slower, especially when this is all used in a loop.
Note also that the order of the rows has changed w.r.t. the order they had in the original matrix. If the order matters, you'll have to throw in another sort
:
C = accumarray(b, (1:size(A,1))', [], @(r) {A(sort(r),:)} );