Hierarchical_ERP.m

%  --------------------Hirerichal Clustering ERP data ------------------
% The ERP data has well structure for clustering time sammples and
% channnels 500x58 we applied Matlab clustering function on this dataset

function [H_ERP]=Hierarchical_ERP(ERP_Subj,Subj,k,G);

for g=1:G
    for s=1:Subj % subjects
        
        x=squeeze(ERP_Subj(:,:,s,g));
                
        %  clustering with diferent similarity functions---------------------------
        
        %         cl=clusterdata(x,'linkage','complete','distance','euclidean','maxclust',k);
        %         cl=clusterdata(x,'linkage','complete','distance','seuclidean','maxclust',k);
        %         cl=clusterdata(x,'linkage','complete','distance','cityblock','maxclust',k);
        %         cl=clusterdata(x,'linkage','complete','distance','minkowski','maxclust',k);
        %         cl=clusterdata(x,'linkage','complete','distance','chebychev','maxclust',k);
        %         cl=clusterdata(x,'linkage','complete','distance','mahalanobis','maxclust',k);
        %         cl=clusterdata(x,'linkage','complete','distance','cosine','maxclust',k);
        cl=clusterdata(x,'linkage','complete','distance','correlation','maxclust',k);
        %         cl=clusterdata(x,'linkage','complete','distance','spearman','maxclust',k);
        %         cl=clusterdata(x,'linkage','complete','distance','hamming','maxclust',k);
        %         cl=clusterdata(x,'linkage','complete','distance','jaccard','maxclust',k);
        H_ERP(:,s,g)=cl;
       
    end
end
end

%----------------- The end of Hierarchical clustering ---------------------