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
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Image Analyst
2019-7-2
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);
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.
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