Hi Alexamder,
The functionality you are asking for, which involves clustering points with a threshold for a neighborhood search radius, is provided in MATLAB using "dbscan".
Here is the documentation for the same:
I have written a sample code with 300 points for you to see how the function works, here:
x = rand(300, 1) * 100;
y = rand(300, 1) * 100;
data = [x, y];
epsilon = 5; % Minimum distance between cluster centers
min_samples = 5; % Minimum number of points to form a cluster
idx = dbscan(data, epsilon, min_samples);
figure;
gscatter(data(:,1), data(:,2), idx);
xlabel('X');
ylabel('Y');
grid on;
Hope this helps with your problem statement!
