Grouping matched data by row and column
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I have a matrix attached, Rows_col.mat. This gives the Row and column of some other matrix that has matched a condition I have imposed. So for example, 6 has matched with 1, 19 has matched with 7. However there are occasions where there are more matches, for example 9 has matched with 3, but 17 has also matched with 3. In this instance I would like the output to be [9, 17, 3] (the order is not important). I think the output in a cell array would be the most suitable since there is a varying matrix column size for each "match". I hope this is clear, This for example would be the desired output:
[6,1];[9,3,17 (any order would be fine)];[19,7];[15,10,23];[12,11,18];[21,13];[20,14], this would be a 7x1 cell.
Thankyou.
3 个评论
Guillaume
2016-3-23
In your example you have several rows matching the same column. Could you also have several columns matching the same row, i.e:
6 1
6 2
Or even a mixture of two:
6 1
6 2
5 2
which would give a permutation of [1 2 5 6]?
In your output example of [9 3 17] are you sure you don't care anymore if a number comes from a row or column?
采纳的回答
Guillaume
2016-3-23
编辑:Guillaume
2016-3-23
I don't think that there is any other way than using loops to solve this. This works:
Rows_col_ = [6 1; 9 3; 17 3; 19 7; 17 9; 15 10; 23 10; 12 11; 18 11; 18 12; 21 13; 20 14; 23 15];
sequences = {};
for row = Rows_col_' %iterate over the rows of Rows_Cols
hascommonvalue = cellfun(@(s) any(ismember(row, s)), sequences); %check if current row has any value common to a stored sequence
if any(hascommonvalue)
%current row has a common value with one or more sequence already stored, group all together
newmatch = unique([sequences{hascommonvalue}, row']); %concatenate all matching sequences and current row
sequences(hascommonvalue) = []; %remove matching sequences since they've been concatenated as a new sequence
sequences{end+1} = newmatch; %and add new sequence
else
%current did not match any previous sequence, add as new
sequences{end+1} = row';
end
end
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