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Partitioning cell of matrices

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I have a set of images that are in one cell array in the form of matrices.
>> img_mat
img_mat =
1×325 cell array
Columns 1 through 2
{256×256 uint8} {256×256 uint8}
Columns 3 through 4
{256×256 uint8} {256×256 uint8}
...
These images are classified in 5 different types (e.g. lions, buildings) and I need to partition them into 10 sets, 5 training sets and 5 testing sets.
I tried
cvpartition(img_mat,'holdout',125)
which doesn't work because it needs to be numerical or categorical
And I tried
[SetA, SetATest,...SetE, SetETest] = partition(img_mat, [45, 25, 45, 25, 45, 25, 45, 25, 45, 25],'sequential');
but I get this error:
Undefined function 'partition' for input
arguments of type 'cell'.
I'm not really sure how to go about partitioning them, and later testing them.

Accepted Answer

Ariel Avshalumov
Ariel Avshalumov on 4 Jun 2018
I found the answer now. I over complicated things, its as simple as:
setA=img_mat(1:45);
[setA,setATest]=img_mat([1:45,45:65]);

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R2018a

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