How can i make a partition matrix
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I tried to make a mxn partition matrix that all her columns sum 1.0, i have this, but is very slow
c=5; k=3;
matrixTemp = zeros(c, k);
randoms = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9];
idx_r = zeros(1,k);
for i = 1:c
s = 0;
while s ~= 1
idx_r = randperm(9,k);
s = sum(randoms(idx_r));
end
matrixTemp(i,:) = randoms(idx_r);
end
It is posible more easy?
The partition matrix is the same that fuzzy c means.
I need this for example:
c1 | 0.5 0.6 0.1
c2 | 0,2 0.2 0.5
c3 | 0.3 0.2 0.4
----------------------
R | 1.0 1.0 1.0 % sum each column equals to 1.0
Respuesta aceptada
Más respuestas (1)
Praveen Iyyappan Valsala
el 9 de Nov. de 2019
If you want to list all possible partitions. Not suitable for large k.
randoms = 0.1:0.1:0.9;
%Index of all permutations with repetitions
[k1,k2,k3] = ndgrid(1:length(randoms)) ; %manually type all k;)
allperm = [k1(:) k2(:) k3(:)] ;
% use the idex to set up permutation matrix of random
random_allperm=randoms(allperm);
%Pick the permuations with sum==1
AllPartitions=randoms(allperm((sum(random_allperm,2)==1),:));
%% pick c number of partitions according to your needs
c=5;
disp(AllPartitions(randperm(length(AllPartitions),c),:))
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