How to MATLAB function using parallel Pooling

I have a MATLAB function and a dataset that I would like to run in parallel on the CPU. Specifically, I would like to compare the performance of running the function with and without parallelization

I also attached my Dataset below

Please help me with this, I know parfor is used but i am unable to used that

load('Dataset.mat')
clusternumber = 6;
function [Score] = Scorefunction(Dataset,clusternumber)
dataset_len = size(Dataset,1);
Score = zeros(1,clusternumber);
for j=1:clusternumber
    [cluster_assignments,centroids] = kmeans(Dataset,j);
    distance_within=zeros(dataset_len,1);
    distance_between=Inf(dataset_len,j);
    for i=1:dataset_len
        for jj=1:j
            boo=cluster_assignments==cluster_assignments(i);
            Xsamecluster=Dataset(boo,:);
            if size(Xsamecluster,1)>1
                distance_within(i)=sum(sum((Dataset(i,:)-Xsamecluster).^2,2))/(size(Xsamecluster,1)-1);
            end
            boo1= cluster_assignments~=cluster_assignments(i);
            Xdifferentcluster=Dataset(boo1 & cluster_assignments ==jj,:);
            if ~isempty(Xdifferentcluster)
                distance_between(i,jj)=mean(sum((Dataset(i,:)-Xdifferentcluster).^2,2));
            end
        end
    end
   
    minavgDBetween = min(distance_between, [], 2);
    silh = (minavgDBetween - distance_within) ./ max(distance_within,minavgDBetween);
    Score(j) =mean(silh);
end
end

[Raymond Norris]

This is a duplicate of How to parallelize MATLAB function on the CPU - MATLAB Answers - MATLAB Central (mathworks.com)