Faster or smarter way to sort and intersect large amount of data??
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Dear Sir/Madam,
I was using "intersect" in my Matlab code to do the sorting where I want the following:
[ch] = sort(s, 'ascend');
[same, a] = intersect(s, ch);
For example:
input: s =[55 21 78 7]
output: ch = [7 21 55 78] a = [4 2 4 3]
I need to access ‘a’ where ‘a’ shows the original index prior to sorting so I can use it for further processing.
This method works exactly as what I want, but I guess it is taking a lot of time to do the sorting and intersect etc especially when the size of s approaching 100 or higher, are there other faster or smarter ways to do so?
Thank you very much.
2 个评论
José-Luis
2014-2-17
What's a lot of time? Remember that the algorithmic complexity of sort is O(n log n) so there are limits to how fast you can make it, and Matlab is already pretty decent for this function.
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Jos (10584)
2014-2-17
intersect is pretty fast, so I would not worry too much ...
a = rand(100000,1) ;
b = rand(100000,1) ;
tic ; [c,i] = intersect(a,b) ; toc ;
% Elapsed time is 0.029850 seconds.
4 个评论
Jos (10584)
2014-2-17
Yep. The profiler is a very useful tool if you want to know where improvements might be found.
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