Evaluation of Clustering Algorithms

I am trying to learn basics of clustering and clustering algorithms. Sorry if it is a dumb question. Is there a way to use K-Medoids with "evalclusters"? I just want to check the differences between clustering algorithms and evaluation methods.

% ... Load Dataset 
CL_A = {'KMeans','Linkage','GMDistribution'};
% ... Some Calculations
for n=1:4
        EvaResult = evalclusters(X,CL_A{n},'CalinskiHarabasz','KList',1:10);
        subplot(1,4,n);
        % ... Some Calculations
end

Answer 1

[Kanika Gupta]

I do not think we can use evalclusters() with k-medoids. This function supports only certain algorithms as explained in here

[MB]

I think I found a way but now I have to find a way to call other methods inside the function:

myfunc = @(X,K)(kmedoids(X,K));
EvaResult = evalclusters(X,myfunc,'CalinskiHarabasz','klist',[1:6]);