Hi LH,
I understand that you're aiming to assign each point in the 3D dataset to a cluster based on specific conditions, as outlined in your question and provided code.
After setting initial centroids, consider using this code snippet instead:
threshold_x = 1.5;
threshold_y = 1.5;
threshold_z = 1.5;
% Initialize the cluster assignment matrix
cluster_assignments = zeros(size(X,1), 4);
for i = 1:size(X,1)
for j = 1:NoCluster
% Calculate the distance between the point and the centroid
dist_x = abs(X(i,1) - initial_centroids(j,1));
dist_y = abs(X(i,2) - initial_centroids(j,2));
dist_z = abs(X(i,3) - initial_centroids(j,3));
% Check if the point meets the conditions for all coordinates
if dist_x <= threshold_x && dist_y <= threshold_y && dist_z <= threshold_z
% Assign the point to this cluster
cluster_assignments(i,:) = [X(i,:), j];
break; % Break the loop once the point is assigned to a cluster
end
end
end
% Display the final cluster assignments
disp(cluster_assignments);
I hope this is what you were looking for.
