Classifiying the data points

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Hi i have a data set such as;
[x y z d], (100x4) matrices
x,y and z are coordinates and the d is the measure of a distance.Every d is corresponding with one point (x, y, z)
I want to create 10 classes from d and colorize the points (x,y,z) according to this classes and plot it
is anyone have idea?
Thank you

Accepted Answer

Image Analyst
Image Analyst on 2 Jul 2019
Try kmeans with 10 classes, and operating on the d values:
data = rand(100, 4)
x = data(:, 1);
y = data(:, 2)
z = data(:, 3);
d = data(:, 4);
numClasses = 10
% Find classes based on 4th column.
indexes = kmeans(d, numClasses);
% Make up a colormap with 10 colors
cmap = jet(10);
% Assign a color to each data point based on it's class
markerColors = zeros(10, 3); % 10 colors.
for k = 1 : size(data, 1)
thisClassNumber = indexes(k)
markerColors(k, :) = cmap(thisClassNumber, :);
end
scatter3(x, y, z, 50, markerColors, 'filled');
fontSize = 20;
xlabel('X', 'FontSize', fontSize);
ylabel('Y', 'FontSize', fontSize);
zlabel('Z', 'FontSize', fontSize);
0000 Screenshot.png
There is a marker at each (x,y,z) location and its color depends on which of the 10 classes that point's "d" value got classified into.
  10 Comments
Mehmet Volkan Ozdogan
Mehmet Volkan Ozdogan on 4 Jul 2019
Thank you for the answer. the problem was space. Now it is working. I have one more question, is it possible to add a legend abour classification...
thank you again for your helps
Image Analyst
Image Analyst on 4 Jul 2019
I think you'd have to do it manually with text().

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