How can I create multiple scatter3 figures for each k-value?

I'm trying to plot different scatter3 graphs for each of the different k-values. The code below just gives me the same graph seven times with all the data for the all k-values on each graph (instead of separating it). How do I get the loop to plot a new figure for each k-value?

For the sake of this question, please ignore the boxplot stuff, I'm assuming that whatever is applied for this problem to the scatter3, I'll end up applying to the boxplot problem as well.

load('../output/kmeans_clustering','S','LesAll')  
for k = 4:10                                     % recalculate clustering for those k
    for irep = 1:50                                 
        Idx(:,irep) = kmeans(S,k);
    end
        d = agreement(Idx)/50;                   % build agreement matrix
        ciu = consensus_und(d,0.5,250);          % consensus clustering 
          
    load('../mat/coor.mat')                      % where the coor nodes are stored
    x = coor(:,1);                               % correspond xyz to values on coor
    y = coor(:,2);
    z = coor(:,3);
    figure
    hold on
    scatter3(x,y,z,100,ciu);                     % make fig; ciu choooses the colors
    
    LA = mean(LesAll,2);                         % matrix storing the avg of lesion masks
    figure
    boxplot(LA,ciu);
end

Answer 1

[Srivardhan Gadila]

Try running the following code and check whether you are getting different plots or not:

close all
for i=4:6
    [X,Y,Z] = sphere(i^2);
    x = [0.5*X(:); 0.75*X(:); X(:)];
    y = [0.5*Y(:); 0.75*Y(:); Y(:)];
    z = [0.5*Z(:); 0.75*Z(:); Z(:)];
    S = repmat([50,25,10],numel(X),1);
    C = repmat([1,2,3],numel(X),1);
    s = S(:);
    c = C(:);
    figure
    hold on
    scatter3(x,y,z,s,c)

    figure
    xx = randn(100,25);
    boxplot(xx)
end

If you are getting different plots then I would suggest you to check the values of x,y,z,ciu provided to the the scatter3 function w.r.t different k values whether they are same or not.