Converting the 3D Matrix to 2D Matrix

I have a matrix outputs from my function in the following form;

zeros(3,5,5)

Basically, its a result of pairwise comparison of a matrix

(5 x 5)

for

3

different modalities (types).

I wish to convert this matrix with each pairwise comparison matrix separately with respect to different modalities.i.e I wish to have the result as below;

1     2    3
i1    j1   k1
i2    j2   k2
i3    .    .
i4    .    .
i5    .    .
i6    .    .
.     .    .
.     .    .
.     .    .
.     .    .
i25   j25  k25

I checked the example using Reshape and could not get much from it. Can anyone please help me through? Thanks

[Birdman]

What have you tried?

[Jan]

I do not understand, what "i1, j1, k1" means. Where are they found in the original data? The problem can be solved by:

y = reshape(permute(reshape(x, Size1), Order2), Size3)

All you need is to find the matching parameters Size1, Order2 and Size3.

Answer 1

[Jan]

The general reordering of elements can be done by:

y = reshape(permute(reshape(x, Size1), Order2), Size3)

In your case (perhaps - still not sure what "i1, j1, k1 etc" means):

x = zeros(3,5,5);
x(:) = 1:3*5*5;   % Some test data
y = reshape(permute(reshape(x, 3, 25), [2, 1]), [25, 3])

If this is the wanted output, there is an abbreviation:

y = reshape(x, 3, 25).'

permute(Matrix, [2,1]) is the same as mtranspose() and the 2nd reshape is not required here. But it is worth to keep the general transformation in mind.

[Marimuthu Ananthavelu]

Hi please note that the i,j,k are nothing but the elements of the matrix. And I just mentioned them for the sake of clarity. Thanks for your answer.