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1 function [r, valididx, clip_ids] = ranking_from_comparison_trivial(comparison, comparison_ids)
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2 % returns a ranking for each of the compared songs
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3 %
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4 % r(idx,1) = all indexes which are similar to clip idx
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5 % r(idx,2) = all indexes which are dissimilar to clip idx
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6 %
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7 % if onlyvalid is set to true, only the transitive hull of
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8 % clips having sim and dissim values will be output
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9
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10 % ---
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11 % in comparison, the outlying piece is highlighted.
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12 % thus, we naively consider that
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13 % a. both of the remaining pieces are more similar to each other.
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14 % b. the outlier is dissimilar to both of the other pieces
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15 % ---
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16
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17 [outsort, outidx] = sort(comparison(:,4:6),2,'ascend');
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18
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19 r = cell(numel(comparison_ids), 2);
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20 s = zeros(numel(comparison_ids), 2); % score for rankings
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21 for i = 1:size(comparison, 1)
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22
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23 % get the three relevant comparison ids
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24
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25 pos = comparison(i, outidx(i,1:3));
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26 vals = outsort(i,:);
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27
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28 % ---
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29 % each of the three clips will be evaluated based on its position
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30 % the last clip is the potential outlyier
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31 % ---
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32
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33 % ---
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34 % usual case: two small values and a last outlie
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35 % ---
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36 if vals(2) ~= vals(3)
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37
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38
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39 % ---
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40 % first (most common) clip:
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41 % the second clip is more similar than the third one
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42 % ---
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43 r{pos(1),1} = cat(1, r{pos(1),1}, pos(2)); % similar
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44 r{pos(1),2} = cat(1, r{pos(1),2}, pos(3)); % dissimilar
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45 % else
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46 %
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47 % % ok, both seem more dissimilar to clip 1
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48 % r{pos(1),2} = cat(1, r{pos(1),1}, pos(2)); % both dissimilar
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49 % r{pos(1),2} = cat (1, r{pos(1),2}, pos(3)); % dissimilar
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50 end
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51
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52 if vals(3) ~= vals(1)
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53 % ---
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54 % the second clip is more similar to the first than
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55 % the third
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56 % ---
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57 r{pos(2),1} = cat(1, r{pos(2),1}, pos(1));
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58 r{pos(2),2} = cat(1, r{pos(2),2}, pos(3));
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59
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60 % ---
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61 % the third clip is not similar to any of the former
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62 % NOTE: we avoid this information as it possibly leads
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63 % to some contradictionary statements
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64 % ---
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65 r{pos(3),2} = cat(1, r{pos(3),2}, pos(1));
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66 r{pos(3),2} = cat(1, r{pos(3),2}, pos(2));
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67 end
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68
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69
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70 end
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71
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72 % ---
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73 % we cleanup r and
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74 % run basic checks on emptiness and paradox assumptions
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75 % ---
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76 valididx = zeros(size(r,1), 1);
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77 for i = 1:size(r, 1)
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78
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79 % make unique
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80 r{i,1} = unique(r{i,1});
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81 r{i,2} = unique(r{i,2});
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82
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83 % check
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84 valididx(i) = ~isempty(r{i,1}) && ~isempty(r{i,2}) && ...
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85 isempty(intersect(r{i,1}, r{i,2}));
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86 end
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87
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88 valididx = logical(valididx);
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89 clip_ids = 1:numel(comparison_ids);
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90
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