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hoc_similarity.m
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hoc_similarity.m
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function sim = hoc_similarity ( method, h1 , h2 , cof1 , cof2 , q)
% DEPRECIATED
if (length(h1) ~= length(h2))
sim = -1;
disp ('Histogram sizes do not match');
return;
end
% figure; bar([h1' h2'],'grouped'); xlim([0 length(h1)]);
sim = 0;
switch (method)
case 'L1'
d = dist_l1 ( h1 , h2 );
sim = 1 - d/2;
case 'L2'
d = dist_l2 ( h1 , h2 );
sim = 1 - d/2;
case 'Linf'
d = dist_linf ( h1 , h2 );
sim = 1 - d;
case 'correlation'
sim = dist_correlation ( h1, h2 );
case 'chi-square'
d = dist_chisquare ( h1 , h2 );
sim = 1 - clip_range(d, [0 1]);
case 'intersection'
sim = dist_intersection ( h1 , h2 );
case 'bhattacharyya'
d = dist_bhattacharyya ( h1 , h2 );
sim = 1 - d;
case 'kl-divergance'
d = dist_kl ( h1 , h2 );
sim = max(0,1 - d);
case 'diffusion'
d = dist_diffusion ( h1 , h2 );
sim = max(0,1 - d);
case 'match'
d = dist_match ( h1, h2 );
sim = 1 - d;
case 'jeffry div'
d = dist_jeffrey ( h1 , h2 );
sim = 1 - d;
case 'kolmogorov smirnov'
d = dist_ks ( h1 , h2 );
sim = 1 - d;
case 'cramer von mises'
d = dist_cvm ( h1 , h2 );
sim = 1 - d;
case 'quadratic'
d = dist_quadratic ( h1 , h2 , q );
sim = 1 - d;
case 'quadratic-chi'
d = dist_qc ( h1 , h2 , q );
sim = 1 - clip_range(d, [0 1]);
case 'emd hat'
d = dist_emd_hat ( h1 , h2 , q );
sim = 1 - d;
case 'cosine'
d = dist_cosine ( h1 , h2 );
sim = 1 - d;
case 'L1,avg'
for i = 1:size(h1,1)
d(i) = dist_l1 ( h1(i,:) , h2(i,:) );
end
sim = 1 - mean(d)/2;
case 'L2,avg'
for i = 1:size(h1,1)
d(i) = dist_l2 ( h1(i,:) , h2(i,:) );
end
sim = 1 - mean(d)/2;
case 'Linf,avg'
for i = 1:size(h1,1)
s(i) = dist_linf ( h1(i,:) , h2(i,:) );
end
sim = 1 - mean(s);
case 'correlation,avg'
for i = 1:size(h1,1)
s(i) = dist_correlation ( h1(i,:) , h2(i,:) );
end
sim = mean(s);
case 'chi-square,avg'
for i = 1:size(h1,1)
d(i) = dist_chisquare ( h1(i,:) , h2(i,:) );
d(i) = clip_range(d(i), [0 1]);
end
sim = 1 - mean(d);
case 'intersection,avg'
for i = 1:size(h1,1)
s(i) = dist_intersection ( h1(i,:) , h2(i,:) );
end
sim = mean(s);
case 'bhattacharyya,avg'
for i = 1:size(h1,1)
d(i) = dist_bhattacharyya ( h1(i,:) , h2(i,:) );
end
sim = 1 - mean(d);
case 'kl-divergance,avg'
for i = 1:size(h1,1)
d(i) = dist_kl ( h1(i,:) , h2(i,:) );
d(i) = min (1 , d(i));
end
sim = 1 - mean(d);
case 'diffusion,avg'
for i = 1:size(h1,1)
d(i) = dist_diffusion ( h1(i,:) , h2(i,:) );
d(i) = clip_range(d(i), [0 1]);
end
sim = 1 - mean(d);
case 'match,avg'
for i = 1:size(h1,1)
s(i) = dist_match ( h1(i,:) , h2(i,:) );
end
sim = 1 - mean(s);
case 'kolmogorov smirnov,avg'
for i = 1:size(h1,1)
s(i) = dist_ks ( h1(i,:) , h2(i,:) );
end
sim = 1 - mean(s);
case 'jeffry div,avg'
for i = 1:size(h1,1)
s(i) = dist_jeffrey ( h1(i,:) , h2(i,:) );
end
sim = 1 - mean(s);
case 'cramer von mises,avg'
for i = 1:size(h1,1)
s(i) = dist_cvm ( h1(i,:) , h2(i,:) );
end
sim = 1 - mean(s);
case 'quadratic,avg'
for i = 1:size(h1,1)
s(i) = dist_quadratic ( h1(i,:) , h2(i,:) , q );
end
sim = 1 - mean(s);
case 'quadratic-chi,avg'
for i = 1:size(h1,1)
d(i) = dist_qc ( h1(i,:) , h2(i,:) , q );
d(i) = clip_range(d(i), [0 1]);
end
sim = 1 - mean(d);
case 'emd hat,avg'
for i = 1:size(h1,1)
s(i) = dist_emd_hat ( h1(i,:) , h2(i,:) , q );
end
sim = 1 - mean(s);
case 'cosine,avg'
for i = 1:size(h1,1)
s(i) = dist_cosine ( h1(i,:) , h2(i,:) );
end
sim = 1 - mean(s);
case 'L1,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_l1 ( h1(i,:) , h2(i,:) );
end
sim = 1 - sum(d)/2;
case 'L2,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_l2 ( h1(i,:) , h2(i,:) );
end
sim = 1 - sum(d)/2;
case 'Linf,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_linf ( h1(i,:) , h2(i,:) );
end
sim = 1 - sum(d);
case 'correlation,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
s(i) = (cof1(i)*cof2(i)/cof_prob)*dist_correlation ( h1(i,:) , h2(i,:) );
end
sim = sum(s);
case 'chi-square,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = dist_chisquare ( h1(i,:) , h2(i,:) );
d(i) = clip_range(d(i), [0 1]) * (cof1(i)*cof2(i)/cof_prob);
end
sim = 1 - sum(d);
case 'intersection,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
s(i) = (cof1(i)*cof2(i)/cof_prob)*dist_intersection ( h1(i,:) , h2(i,:) );
end
sim = sum(s);
case 'bhattacharyya,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_bhattacharyya ( h1(i,:) , h2(i,:) );
end
sim = 1 - sum(d);
case 'kl-divergance,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = dist_kl ( h1(i,:) , h2(i,:) );
d(i) = (cof1(i)*cof2(i)/cof_prob)*min (1 , d(i));
end
sim = 1 - sum(d);
case 'diffusion,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = dist_diffusion ( h1(i,:) , h2(i,:) );
d(i) = (cof1(i)*cof2(i)/cof_prob)*clip_range(d(i), [0 1]);
end
sim = 1 - sum(d);
case 'match,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_match ( h1(i,:) , h2(i,:) );
end
sim = 1 - sum(d);
case 'kolmogorov smirnov,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_ks ( h1(i,:) , h2(i,:) );
end
sim = 1 - sum(d);
case 'jeffry div,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_jeffrey ( h1(i,:) , h2(i,:) );
end
sim = 1 - sum(d);
case 'cramer von mises,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_cvm ( h1(i,:) , h2(i,:) );
end
sim = 1 - sum(d);
case 'quadratic,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_quadratic ( h1(i,:) , h2(i,:) , q);
end
sim = 1 - sum(d);
case 'quadratic-chi,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = dist_qc ( h1(i,:) , h2(i,:) , q );
d(i) = clip_range(d(i), [0 1]) * (cof1(i)*cof2(i)/cof_prob);
end
sim = 1 - sum(d);
case 'emd hat,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_emd_hat ( h1(i,:) , h2(i,:) , q);
end
sim = 1 - sum(d);
case 'cosine,wei'
cof_prob = cof1'*cof2;
for i = 1:size(h1,1)
d(i) = (cof1(i)*cof2(i)/cof_prob)*dist_cosine ( h1(i,:) , h2(i,:));
end
sim = 1 - sum(d);
end
end