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[10] | 1 | %NEF Compute Negative Eigen Fraction from dataset or mapping
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| 2 | %
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| 3 | % F = NEF(D)
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| 4 | % F = NEF(W)
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| 5 | %
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| 6 | % INPUT
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| 7 | % D - Dissimilarity matrix
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| 8 | % W - Pseudo-Euclidean mapping
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| 9 | %
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| 10 | % OUTPUT
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| 11 | % F - Negative eigenfraction
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| 12 | %
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| 13 | % DESCRIPTION
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| 14 | % The Negative eigenfraction is a ratio expressing the sum of
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| 15 | % magnitudes of all negative eigenvalues divided by the sum of
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| 16 | % magnitudes of all eigenvalues. The necessary numbers are
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| 17 | % stored in W = PE_EM(D). W is computed from D is needed.
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| 18 | %
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| 19 | % SEE ALSO
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| 20 | % DATASETS, MAPPINGS, PE_EM, CHECKEUCL
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| 21 |
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| 22 | function f = nef(input)
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| 23 |
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| 24 | if isdataset(input)
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| 25 | w = pe_em(input);
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| 26 | elseif ~ismapping(input)
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| 27 | error('Input should be dataset or mapping')
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| 28 | else
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| 29 | w = input;
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| 30 | end
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| 31 |
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| 32 | eval = abs(getdata(w,'eval'));
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| 33 | sig = getdata(w,'sig');
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| 34 | f = 1-sum(eval(1:sig(1)))/sum(eval);
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| 35 |
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| 36 |
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