average distance between column values in a matrix
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I have a 16 row, 20,000 column matrix of 0's and 1's. 1's represent activity in each row, 0's represent a lack there of. I want to find the average distance (# of columns) between points of activity in the rows and then have an overall average of all 16 rows. So if, for example, a row had 01110001110, the distance would be 6, (columnar distance between centers of groups of random consecutive ones (or single ones). Any ideas?
Thank you
回答 (2 件)
per isakson
2012 年 5 月 3 日
cac = regexp( '000001111111111000000000011111', '(0+)|(1+)', 'match' );
num = cellfun( @numel, cac );
This is more than half way to a solution.
--- CONT. ---
Given that Y is a character array, .<16x20000 char>, try first with one row
cac = regexp( Y(1,:), '(0+)|(1+)', 'match');
if that works I guess the simplest (:KISS:) is to use a loop and operate on one row at a time.
--- CONT. ---
I put these lines in the editor and select the cell (yellow background) and click Evaluate cell ( or Cntrl+Enter)
cac = regexp( '000001111111111000000000011111', '(0+)|(1+)', 'match' );
num = cellfun( @numel, cac );
disp( num )
that gives me the following line in the command window
5 10 10 5
I have R2012a but that shouldn't matter. Why not try
Y = repmat( '11100011111111111110000000000011111111110000000', 6, 1 );
num = cell( 6, 1 );
for rr = 1 : 6
cac = regexp( Y(rr,:), '(0+)|(1+)', 'match');
num{rr} = cellfun( @numel, cac );
end
num{:}
that produces in the command window
ans =
3 3 13 11 10 7
ans =
3 3 13 11 10 7
ans =
3 3 13 11 10 7
ans =
3 3 13 11 10 7
ans =
3 3 13 11 10 7
ans =
3 3 13 11 10 7
6 件のコメント
Brandon
2012 年 5 月 3 日
Brandon
2012 年 5 月 3 日
per isakson
2012 年 5 月 3 日
The major problem is the blips around Y. You must distinguish between the name of the variable and the value of the variable.
Brandon
2012 年 5 月 3 日
Brandon
2012 年 5 月 3 日
per isakson
2012 年 5 月 3 日
If it returns anything you must be aware that Matlab works column wise.
Andrei Bobrov
2012 年 5 月 3 日
use function regionprops from Image Processing Toolbox
x =[...
1 0 1 1 1 1 0 0 0 1 1 1 0 0 0 1 1];
s = regionprops(x > 0,'Centroid' );
out0 = cat(1,s.Centroid);
out = diff(out0(:,1));
OR:
ii = find([true;diff(x(:))~=0]);
i2 = [ii,[ii(2:end)-1;numel(x)]];
out = diff(mean(i2(x(ii)>0,:),2));
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