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[10] | 1 | %PE_NMC Nearest Mean Classifier for PE spaces
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| 2 | %
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| 3 | % W = PE_NMC(A)
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| 4 | %
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| 5 | % INPUT
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| 6 | % A PE dataset
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| 7 | %
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| 8 | % OUTPUT
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| 9 | % W Nearest mean classifier
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| 10 | %
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| 11 | % DESCRIPTION
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| 12 | % Computation of the nearest mran classifier for the PE dataset A.
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| 13 | %
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| 14 | % Warning: class prior probabilities in A are neglected.
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| 15 | %
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| 16 | % SEE ALSO
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| 17 | % MAPPINGS, DATASETS, NMC
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| 18 |
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| 19 | % R.P.W. Duin, r.p.w.duin@prtools.org
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| 20 | % Faculty EWI, Delft University of Technology
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| 21 | % P.O. Box 5031, 2600 GA Delft, The Netherlands
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| 22 |
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| 23 | function w = pe_nmc(a,w)
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| 24 |
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| 25 | if nargin == 0 | isempty(a)
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| 26 | w = mapping(mfilename,'untrained');
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| 27 | w = setname(w,'PE Nearest Mean');
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| 28 |
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| 29 | else
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| 30 |
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| 31 | if ~ispe_dataset(a)
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| 32 | w = nmc(a);
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| 33 | else
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| 34 | u = meancov(a);
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| 35 | sig = getsig(a);
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| 36 | u = setsig(u,sig);
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| 37 | w = pe_knnc(u,1);
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| 38 | end
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| 39 |
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| 40 | end
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| 41 |
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| 42 | return |
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