MATLAB: Node’s number in k-mean

k-meannode number in k-meanStatistics and Machine Learning Toolbox

I have a number of nodes that is expressed by 'X' and has the value of '98', number of cluster is '14', the code is working fine, but in this code, the number of nodes is not equal in all the clusters, and I need the number of node in each cluster to be '7'. Any help?

 X = [A, B]; 
[idx,C,sumd] = kmeans(X,7,'Distance','cityblock','replicates',3);

Best Answer

If you need the number of nodes in each cluster to be the same, then you should not use kmeans.

Related Solutions

MATLAB: How i can solve this problem? Pleas!

Your ‘T’ matrix must become a cell array. See my sample of ‘T’ for an example.

Once you do that, I would do something like this:

Y = [12.004
    13.1573 
    11.1665  
    11.8082    
    12.2129   
    12.8075   
    12.4167  
    11.5708   
    12.5798    
    13.7489];
T={'cluster2'; 'cluster1'; 'cluster3'; 'cluster9'; 'cluster0'; 'cluster7'; 'cluster4'}; % Sample Of Cell Array
[UnqClust,~,idx] = unique(T);                                                           % Unique Values & Locations
Out = Y(idx);                                                                           % Mapped Output
for k1 = 1:length(idx)
    fprintf(1, '\t%s\t%.4f\n', T{k1}, Out(k1))              % Demonstration Output (Delete Loop)
end
  cluster2  11.1665
  cluster1  13.1573
  cluster3  11.8082
  cluster9  12.4167
  cluster0  12.0040
  cluster7  12.8075
  cluster4  12.2129

MATLAB: Cluster Head in Kmeans Clustering

x = rand(1000,1) ; y = rand(1000,1) ;    % random points 
N = 4 ;    % number of groups 
[idx,C,sumd] = kmeans([x y],N) ;  % apply kmeans 
figure
hold on
for i = 1:N
    plot(x(idx==i),y(idx==i),'.') ;
    plot(C(i,1),C(i,2),'*')
end

In the above C is the cluster head.....cluster head/ cluster centroid is nothing but the mean values of x and y of each group.

Best Answer

Related Solutions

MATLAB: How i can solve this problem? Pleas!

MATLAB: Cluster Head in Kmeans Clustering

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