How select a first value from the binary matrix ?
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I have below matrix i want to select one value from each column which will be 1 make other 0 at return i will get 10*10 matrix.Selection of 1 such that a11 from 1st column,a22 from 2 column,a13 from the third column,a14 from the 4column and so on and make other value in the column 0.If we go for the indexing is ok for the small matrix but in bigger matrix we don't know the position of the 1 value.So is it possible to changed what i want.I have 1300*500 size matrix this is only for the example.
Thanks in advanced for your help.
matrix = [
0 1 0 0 1 0 0 1 0 1 0 1 1 1 0 1 0 0 1 0
1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 0 1 1 1 1
0 1 1 0 0 1 1 0 1 1 1 0 0 1 1 0 0 0 1 1
0 1 1 1 1 1 1 0 0 0 0 1 0 1 1 0 0 0 1 0
1 1 0 0 0 1 0 0 1 1 1 1 0 0 0 0 0 0 0 1
0 0 0 0 0 1 0 0 1 0 1 1 0 1 1 1 1 1 1 0
1 0 1 0 1 0 0 1 1 0 1 1 0 0 1 0 0 1 0 1
1 1 0 0 1 0 1 0 0 0 0 0 1 1 0 1 1 1 0 1
1 0 1 0 0 1 0 0 1 0 0 0 0 1 1 0 0 0 1 0
0 0 1 0 1 0 1 1 0 0 0 1 1 0 0 0 1 1 0 1
];
1 comentario
Selva Karna
el 20 de Ag. de 2019
Your first value=matrix(1,1);
Respuesta aceptada
Más respuestas (1)
Walter Roberson
el 19 de Ag. de 2019
Editada: Walter Roberson
el 19 de Ag. de 2019
[~,idx] = max(matrix);
output = sparse(idx,1:size(matrix,2),1,size(matrix,1),size(matrix,2));
Note: in the case where there are no 1's in a particular column, then this code will pick the first row of that column.
[~,idx] = max(matrix);
output = sparse(idx,1:size(matrix,2),true,size(matrix,1),size(matrix,2));
is potentially more useful for your purposes.
5 comentarios
vikash kumar
el 19 de Ag. de 2019
Editada: vikash kumar
el 19 de Ag. de 2019
Walter Roberson
el 19 de Ag. de 2019
I am not sure what difference there is between what I provided and what you want. I suspect that you are being confused by the sparse() output. If so then
[~,idx] = max(matrix);
output = full(sparse(idx,1:size(matrix,2),true,size(matrix,1),size(matrix,2)));
vikash kumar
el 20 de Ag. de 2019
darova
el 20 de Ag. de 2019
You can also accept the answer. I will be pleased
Walter Roberson
el 20 de Ag. de 2019
With your 1300 x 500 array, only 1 in 1300 rows has a non-zero entry for each column, so sparse can be a lot more storage efficient than full(); in my test, the full version takes 41 times more memory.
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