Continuous loop in kmeans

I am trying to use kmeans for clustering and tried to run this code. But, my code goes on running continiously without giving output.

% As with previous examples, we will first read data from file.
data_train=readtable('household_power_consumption_2007.csv');

% However, we are considering data on sub meter readings only. So, we will select this information from the table.

data_to_cluster=[data_train.Sub_metering_1,data_train.Sub_metering_2,data_train.Sub_metering_3];
costs = [];
for i=1:100
    rng(5);
    [idx, C] = kmeans(data_to_cluster, i);
    
    dist = 0;
    for j=1:length(idx)
        dist = dist + sum((C(idx(j), :) - data_to_cluster(j, :)).^2);
    end
   % dist = length(data_to_cluster)*log(dist/length(data_to_cluster)) + i*11*log(length(data_to_cluster));
   % costs = [costs; dist];
end

[Walter Roberson]

Have you tried reducing the 100 to (say) 5 just to see whether it works at all?

[Niraj Acharya]

Yeah it seems it is working. Thanks man. You are legend

[Walter Roberson]

So 100 is just taking a long time, rather than running without end. You might want to use waitbar() to show how far you have reached.