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JB B on 26 Nov 2018
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Edited: Image Analyst on 31 Mar 2021
So, I have a 3D scatter plot that I would like to connect every point to one another by using line. If someone can guide me to that, I would greatly be appreciated.3dsca
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Walter Roberson on 26 Nov 2018
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To check: if you had (say) 7 points, then you would want each point to have a line to each of the other 6 points? A "complete graph" in graph theory terms?
Or are you wanting to connect to points that are "adjacent" ?
JB B on 26 Nov 2018
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I want them to connect to the points that are adjacent to one another in 3d.
Walter Roberson on 26 Nov 2018
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Okay, so now: given lists of x, y, z, in which the entries are not ordered relative to each other but x(K) corresponds to y(K) and z(K), then: how do you determine whether [x(J), y(J), z(J)] is adjacent to [x(K), y(K), z(K)] ? Is there a cut-off distance? k nearest neighbours ?
JB B on 26 Nov 2018
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There is no cut-off distance. I would like it to connect every point to the points around it, if that makes more sense to you.
Walter Roberson on 26 Nov 2018
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It would make sense to connect every point to every other point. Otherwise there has to be a rule to determine whether a point is "around" another point.
Let us take an example of reasonable size:
rng(1);a = randi(10,10, 3);
scatter3(a(:,1), a(:,2), a(:,3));
Now, which points are to be connected to which?
JB B on 27 Nov 2018
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I think you are correct. How would I connect every point to every other point?
Thank you,
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Answers (1)
Image Analyst on 27 Nov 2018
This should connect every point to every other point (untested)
hold on;
for k1 =1 : length(x)-1
for k2 = k : length(x)
plot3([x(k1), x(k2)], [y(k1), y(k2)], [z(k1), z(k2)], 'b-');
end
end
If you don't want all points connected to all other points, but only "adjacent" ones, then you have to define "adjacent" or "around". Is it only the nearest other point? Or 5 nearest?
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Lukas on 31 Mar 2021
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Hey, how do you only connect the nearest points?
x=[EEG.chanlocs.X];
y=[EEG.chanlocs.Y];
z=[EEG.chanlocs.Z];
(x,y,z are 64 channels with their respective location (1x64))
[xi, yi ] = meshgrid(x,y);
F = scatteredInterpolant(x',y',z','natural','none');
zi=F(xi,yi);
rotate3d on
hold on;
plot3(x, y, z,'r.')
Lukas on 31 Mar 2021
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8 nearest
Lukas on 31 Mar 2021
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cut-off distance would be okay, but would need to be defined. Points are relatively evenly spaced (head-shaped)
Image Analyst on 31 Mar 2021
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Edited: Image Analyst on 31 Mar 2021
@Lukas Gaßmann Start your own question with your EEG data attached in a .mat file and we'll show you how you can use pdist2() to find close points.
In the meantime, try the code below and if it helps you click on the Vote button near my top answer.
numPoints = 200;
x = 10 * rand(numPoints, 1);
y = 10 * rand(numPoints, 1);
z = 10 * rand(numPoints, 1);
subplot(2, 1, 1);
plot3(x, y, z, 'b.');
grid on;
title('Histogram of Distances');
% Find distance of every point to every other point.
xyz = [x, y, z];
distances = pdist2(xyz, xyz)
subplot(2, 1, 2);
histogram(distances);
grid on;
title('Histogram of Distances');
% Find distances closer than 3 units.
threshold = 1;
[index1, index2] = find(distances <= threshold)
indexes = unique([index1, index2], 'rows')
xline(threshold, 'Color', 'r', 'LineWidth', 2);
% For every pair of close points, draw a line.
subplot(2, 1, 1);
hold on;
for k = 1 : size(indexes, 1)
xPair = [x(indexes(k, 1)), x(indexes(k, 2))];
yPair = [y(indexes(k, 1)), y(indexes(k, 2))];
zPair = [z(indexes(k, 1)), z(indexes(k, 2))];
plot3(xPair, yPair, zPair, 'r-', 'LineWidth', 2);
end
fprintf('Done running %s.m\n', mfilename);
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