Finding closest points to a given range in matrix
2 views (last 30 days)
Show older comments
Hi,
I have a 3 column matrix, x,y,and z respectively. I want to obtain the value of z corresponds to (closest point to 0.00 in x), and closest point to 0.29 in y) (both conditions must be satisfied in the same row).
To sum , for example, x range is between 0.00 and 0.02, and that of y is between 0.28 and 0.29). At the end, I may obtain the values as x=0.0005, its corresponding y=0.28 and (z=-0.3355)
I investigated in the forum but could not find a solution. Could you kindly give me some advice for this?
Thanks in advance.
0 Comments
Accepted Answer
Sean de Wolski
on 13 Dec 2011
A =[ 0.375 0.279 0.366
0.004 0.256 0.321
0.004 0.266 0.322
0.004 0.276 0.333
0.004 0.286 0.338
0.004 -0.687 0.211
0.004 -0.677 0.216
0.486 -0.687 0.201
0.787 -0.697 0.146
1.168 -1.229 0.050
-0.588 -0.587 0.080
-0.678 -0.988 0.036
-0.839 0.065 0.062];
To find the minimum sum of absolute differences.
goal = [0 0.28];
[~, idx] = min(sum(abs(bsxfun(@(minus,A(:,1:2),goal)),2));
A(idx,:)
To find the minimum vector magnitude in 2d space:
goal = [0 0.28];
r = bsxfun(@minus,A(:,1:2),goal);
[~, idx] = min(hypot(r(:,1),r(:,2)));
A(idx,:)
More Answers (3)
Fangjun Jiang
on 13 Dec 2011
The closet point to 0 in x might have one point. The closet point to 0.29 might also have one point. What if they are not in the same row? Does't it mean you don't have a solution.
xyz=rand(20,3);
[MinX,Indx]=min(abs(xyz(:,1)))
[MinY,IndY]=min(abs(xyz(:,2)-0.29));
if MinX~=MinY
disp('no solutin');
else
FoundZ=xyz(IndX,3);
end
0 Comments
Mads
on 13 Dec 2011
If A is your matrix you could use:
[~,b] = min(abs(A(:,1))+abs(A(:,2)-0.29))
where b is the rows position which satisfies being the minimum absolute distance to the point.
0 Comments
See Also
Categories
Find more on Logical in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!