example_split_data.m

close all; clear
clc;
load ('E:\WorkSpaces\Dataset\USPS.mat')
load Network.mat
% feature:      fea 9298 x 256
% groundturth:  gnd 9298 x 1
%gnd = gnd - 1;


nodenum = Network.Conf.NodeNumber;
NodeSample = cell(nodenum,1);
K = 10;

[nsample,dim] = size(fea);
split = floor(nsample/nodenum);
select_id = randperm(nsample, split*nodenum);
sel_fea = fea(select_id,:);
sel_gnd = gnd(select_id,:);
nsample = split*nodenum;

sortedidx = randperm(nsample);
sel_fea = sel_fea(sortedidx,:);
sel_gnd = sel_gnd(sortedidx,:);

base_align = zeros(dim,K);
for i=1:K
    idx = find(sel_gnd==i);
    base_align(:,i) = mean(sel_fea(idx,:),1)';
end

beginp = 1;
for i=1:nodenum    
    endp = beginp + split-1;
    NodeSample{i}.data = sel_fea(beginp:endp,:);      
    GroundTruth.nodegnd{i} = sel_gnd(beginp:endp,:);
    beginp = endp+1;
end
GroundTruth.gnd = sel_gnd;
GroundTruth.base_align = base_align;

save Select_Feat.mat sel_fea
save NodeSample.mat NodeSample
save GroundTruth.mat GroundTruth