How to remove common row elements from matrix

Hello:

I have large number of arrays with mix of NaNs & numbers, for example:

NaN     NaN	NaN    NaN      NaN    NaN	1973	1	15	1973	4	14	90
1979	11	3	12	22	10	1979	11	25	1980	1	5	64
1980	4	15	1	2	1	1980	4	17	1980	5	17	33
2017	10	23	5	7	2	2017	10	30	2018	6	10	231
NaN     NaN     NaN     NaN     NaN     NaN     2018	1	23	2018	7	21	180
NaN     NaN     NaN     NaN     NaN     NaN     2018	6	14	2018	7	21	38
2018	10	2	17	22	5	2018	10	24	2018	12	31	91

I need to identify the row-wise common datetime elements, for example, rows 5 and 6 here, where Year-month-day of cols. 10-12 are common. My desired output would be identify such common rows from each iteration and delete that particular row. For example, desired output here would be:

Nan	NaN	NaN    NaN     NaN      NaN     1973	1	15	1973	4	14	90
1979	11	3	12	22	10	1979	11	25	1980	1	5	64
1980	4	15	1	2	1	1980	4	17	1980	5	17	33
2017	10	23	5	7	2	2017	10	30	2018	6	10	231
NaN     NaN     NaN     NaN    NaN      NaN     2018	1	23	2018	7	21	180
2018	10	2	17	22	5	2018	10	24	2018	12	31	91

Any suggestions how to automate this operation?

Answer 1

[dpb]

[~,ia]=unique(A(:,10:12),'rows');
O=A(ia,:);

[Poulomi Ganguli]

Thanks a bunch! It works.