clustering of rows in random manner

If I have a matrix of 50 rows and 100 columns how clustering of 50 rows can be done in a random manner such that the rows present in that corresponding cluster must have similar values.

[Jos (10584)]

This is all quite vague ... what do you mean by " clustering ", " random manner " " corresponding " (to what?), and " similar values "?

Perhaps you can give a small example of a matrix with, for instance, 6 rows and 2 columns, and the expected output?

[jaah navi]

Here comes the example if A=[1 0;0 2;0 3;0 0;0 0;6 0]
i want to have the output as B=[1 3;6 2;1 3;1 3;1 3;6 2]
which indicates row1,3,4,5 are clustered as a result they have similar values whereas row2,6 are clustered as a result they have similar values.

Answer 1

[KSSV]

Have a look on randsample and randperm.

[jaah navi]

could you please tell me how to use randsample and randperm commands as i am new to matlab and still learning it.