MATLAB: Clustering of rows in random manner

cluster

If I have a matrix of 50 rows and 100 columns how clustering of 50 rows can be done in a random manner such that the rows present in that corresponding cluster must have similar values.

Best Answer

Have a look on randsample and randperm.

Related Solutions

MATLAB: Is different rng(1) rng(2) rng(3) in K means clustering

K means clustering algorithm generates the mean vectors corresponding to the number of the cluster you provide.

The point is that these mean vectors are generated randomly, however the randomness cannot be natural but it is synthesized by computational methods, i.e., the randomness is controllable.

The function rng allows you to controll the randomness by specifying a seed.

Have a look - rng function

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

Best Answer

Related Solutions

MATLAB: Is different rng(1) rng(2) rng(3) in K means clustering

MATLAB: How i can solve this problem? Pleas!

Related Question