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eval_homogeneity.m
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function eval_homogeneity(method,iK,iPart,iRep)
% Functional homogeneity.
% 2015-5-9 10:58:42
% SLIC: a whole brain parcellation toolbox
% Copyright (C) 2016 Jing Wang
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
tic;
load parc_graymatter.mat;
nM=num_gray;
load sInfo.mat;
cK=sK(iK);
load(sprintf('randset_%d.mat',3-iPart)); % load the other part of subjects
sSub=sSub(randset(:,iRep));
nSub=length(sSub);
load(sprintf('%s_parc/K%d_part%d_rep%d.mat',method,cK,iPart,iRep));
img_parc=img_parc(msk_gray);
sC=unique(img_parc); % the label set of the clusters, should be [1:cK]
nC=length(sC);
homogeneity=zeros(nSub,1);
for iSub=1:nSub
cSub=sSub(iSub);
load(sprintf('prep/sub%05d.mat',cSub));
% within cluster similarity
a=zeros(nC,1);
for iC=1:nC
cC=sC(iC); % current cluster
ix=find(img_parc==cC);
nV=length(ix); % number of voxels in this cluster
if nV~=1
tmp=img_gray(ix,:)*img_gray(ix,:)';
tmp=tmp-diag(diag(tmp)); % clear the diagonals
tmp=sum(tmp(:))/(nV^2-nV); % don't count the diagonals
a(iC)=tmp;
end
end
a(a==0)=[]; % clear zeros
homogeneity(iSub,1)=mean(a);
end
homogeneity=mean(homogeneity);
time=toc/3600;
fprintf('Time to calculate homogeneity: %0.2f hours. \n',time);
save(sprintf('%s_homogeneity/K%d_part%d_rep%d.mat',method,cK,iPart,iRep),'homogeneity','time');