[10] | 1 | %DISCHECK Dissimilarity Matrix Check |
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| 2 | % |
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| 3 | % N = DISCHECK(D) |
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| 4 | % OR |
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| 5 | % N = DISCHECK(D,LABLIST,FLAG) |
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| 6 | % |
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| 7 | % INPUT |
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| 8 | % D NxN dissimilarity matrix or dataset |
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| 9 | % LABLIST List of labels |
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| 10 | % FLAG 0 - check square dissimilarity matrix |
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| 11 | % 1 - check square similarity matrix |
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| 12 | % |
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| 13 | % OUTPUT |
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| 14 | % N 1/0 if D is/isnot a proper dissimilarity matrix |
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| 15 | % |
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| 16 | % DESCRIPTION |
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| 17 | % Returns error if |
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| 18 | % - D is not a square dissimilarity matrix with feature labels |
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| 19 | % equal to object labels or feature labels of D are not in LABLIST. |
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| 20 | % - FLAG==0 & there are non-zero elements on the diagonal of D |
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| 21 | % - FLAG==0 & there are negative values in D |
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| 22 | % |
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| 23 | |
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| 24 | % Copyright: R.P.W. Duin, r.duin@ieee.org |
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| 25 | % and Elzbieta Pekalska, ela.pekalska@googlemail.com |
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| 26 | % Faculty EWI, Delft University of Technology and |
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| 27 | % School of Computer Science, University of Manchester |
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| 28 | |
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| 29 | function out = discheck(D,lablist,flag) |
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| 30 | |
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| 31 | if nargin < 3, flag = 0; end |
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| 32 | if nargin < 2 | isempty(lablist) |
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| 33 | [m,k,c] = getsize(D); |
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| 34 | lablist = getlablist(D); |
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| 35 | featlist = getfeatlab(D); |
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| 36 | if m ~= k |
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| 37 | if nargout == 0 |
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| 38 | error('Square (dis)similarity matrix D is expected.') |
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| 39 | else |
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| 40 | out = 0; |
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| 41 | return |
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| 42 | end |
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| 43 | end |
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| 44 | else |
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| 45 | featlist = getfeat(D); |
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| 46 | c = size(lablist,1); |
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| 47 | end |
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[19] | 48 | if isempty(featlist) & c > 0 & islabtype(D,'crisp') |
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[16] | 49 | error('Features are unlabeled and objects are: no proper dissimilarity matrix') |
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| 50 | end |
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| 51 | |
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[10] | 52 | [nn,nf,fl] = renumlab(lablist,featlist); |
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| 53 | if max(nf) > c |
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| 54 | if nargout == 0 |
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| 55 | error('Feature labels do not match the class labels.') |
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| 56 | else |
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| 57 | out = 0; |
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| 58 | return |
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| 59 | end |
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| 60 | end |
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| 61 | |
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| 62 | if any(+D < 0) & ~flag, |
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| 63 | if nargout == 0 |
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| 64 | error('Dissimilarities should be nonnegative.') |
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| 65 | else |
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| 66 | out = 0; |
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| 67 | return |
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| 68 | end |
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| 69 | end |
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| 70 | |
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| 71 | dd = diag(+D); |
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| 72 | if any(dd ~= 0) & ~flag, |
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| 73 | if max(dd) < 1e-5 & min(dd) >= 0 |
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| 74 | D(1:m+1:end) = 0; |
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| 75 | prwarning(3,'The diagonal has small non-zero values. They are set to zero.'); |
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| 76 | else |
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| 77 | if nargout == 0 |
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| 78 | error('The diagonal of D should be a zero vector.') |
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| 79 | else |
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| 80 | out = 0; |
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| 81 | return |
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| 82 | end |
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| 83 | end |
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| 84 | end |
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| 85 | |
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| 86 | if nargout > 0 |
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| 87 | out = 1; |
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| 88 | end |
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| 89 | |
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| 90 | return; |
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