Extract Common and Uncommon Matrix with Row Repetition

I want to segregate common and uncommon matrix with row Repetition. Current matlab commands ismember and setdiff do it by removing repeated rows.

A=[2 3 4;4 1 2;3 5 7;2 8 1;2 3 4;5 5 5;4 1 2;4 1 2; 5 5 5]
B=[2 3 4;4 1 2;2 8 1]
c=ismember(B,A,'rows')
C=A(c,:)
D=setdiff(A,B,'rows')

C=[2 3 4;4 1 2;3 5 7] % Not the expected ans
D=[3 5 7; 5 5 5] %Not the expected ans (because no rows repetition).

I want the output with rows repetition. Expected output is

C=[2 3 4;4 1 2;2 8 1;2 3 4;4 1 2;4 1 2] % Common Matrix
D=[3 5 7;2 8 1;5 5 5; 5 5 5]% Uncommon matrix.
How it could be done?

Answer 1

[Birdman]

c=ismember(A,B,'rows')
C=A(c,:)
D=A(~c,:)

Note that

 2 8 1

row is both located at A and B matrices, therefore your D matrix should look like

 D=[3 5 7;5 5 5; 5 5 5]

[Stephen23]

@mukind: What would you hope to change? ismember already returns an index that does exactly what you want. And by the very definition of sets setdiff does not return duplicates.