Need to remove repeated adjacent elements in an array

I need to turn
[1 1 1 1 2 2 2 6 6 6 6 2 2 2 2] into [1 2 6 2]
unique() gives [1 2 6], but I want to preserve the second value
any advice?

 Accepted Answer

Taking advantage of ‘logical indexing’, it is relatively straightforward:
A = [1 1 1 1 2 2 2 6 6 6 6 2 2 2 2];
B = A(diff([0 A])~=0);
The code looks for changes in the differences (from the diff function) in ‘A’, then finds the elements in ‘A’ that correspond to those changes.

5 Comments

What if the i/p is like this 1111112233333334555555 And o/p should be 135
How are you getting 135 from that?
Geetha K —
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I'd refine this as
A = [1 1 1 1 2 2 2 6 6 6 6 2 2 2 2];
B = A(diff([A(1)-1, A]) ~= 0)
just in case the first value is 0. Just a small suggestion ;)
No it's still flawed
>> A=1e20
A =
1.0000e+20
>> B = A(diff([A(1)-1, A]) ~= 0)
B =
[]
>> A=uint8(0)
A =
uint8
0
>> B = A(diff([A(1)-1, A]) ~= 0)
B =
0×0 empty uint8 matrix
Better
B = A([true diff(A)~=0])
Still it does work if A is empty.
The answer by posted by Michael Cappello in the comment is still better.

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More Answers (2)

you can use diff to determine the consecutive same value numbers
test = [1 1 1 1 2 2 2 6 6 6 6 2 2 2 2]
mtest = [test test(end)-1];
difftest = diff(mtest)
output = test(difftest~=0)
the mtest is the modified test number to get the last value not the same. if you look at the output of difftest you see that we get the positions of the transitions from one number to another.
Here's one way:
m = [1 1 1 1 2 2 2 6 6 6 6 2 2 2 2]
logicalIndexes = [0, diff(m)] ~= 0
output = [m(1), m(logicalIndexes)]

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