How to improve the distance calculation on two separated datasets

3 次查看(过去 30 天)
Hi,
Can anyone advice me on how to improve the distance calculation on the 2 separated datasets? My Data:
X = [ 3.6 79
1.8 54
3.333 74
2.283 62
4.533 85
2.883 55
4.7 88
3.6 85
1.95 51
4.35 85
1.833 54
3.917 84
4.2 78
1.75 47
4.7 83
2.167 52
1.75 62
4.8 84
1.6 52
4.25 79
1.8 51
1.75 47
3.45 78
3.067 69
4.533 74
3.6 83
1.967 55
4.083 76
3.85 78
4.433 79
4.3 73
4.467 77
3.367 66
4.033 80
3.833 74
2.017 52
1.867 48
4.833 80
1.833 59
4.783 90 ]
clc;
close all;
figure;
h(1) = plot(X(:,1),X(:,2),'bx');
hold on;
X1 = X(1:3,:);
X2 = X(4:40,:);
h(2) = plot(X1(1:3,1), X1(1:3,2),'rs','MarkerSize',10);
k=5;
[D2 ind] = sort(squeeze(sqrt(sum(bsxfun(@minus,X2,permute(X1,[3 2 1])).^2,2))))
ind_closest = ind(1:k,:)
x_closest = X(ind_closest,:)
for j = 1:length(x_closest);
h(3) =plot(x_closest(j,1),x_closest(j,2),'ko','MarkerSize',10);
end
The output shown as in the picture:
The problem is, the code does not picks the closest data points of red squared data points.
  2 个评论
Image Analyst
Image Analyst 2018-2-25
Too bad. You forgot to attach 'faithful.csv' so now you'll have to wait even longer for an answer.
In the meantime, take a look at pdist2() if you have the Statistics and Machine Learning Toolbox.
amj
amj 2018-2-25
Dear Image Analyst,
I really do apologize for the data. Attached is the data

请先登录,再进行评论。

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Get Started with Statistics and Machine Learning Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by