GoClassify.m

% 
% /******************************************************************************
% 
% This program, "NCDM", the associated MATLAB scripts and all 
% provided data, are copyright (C) 2013-2014 Andrew R. Cohen and Paul
% M. B. Vitanyi.  All rights reserved.
% 
% This program uses bzip2 compressor as a static library.
% See the file SRC\C\bz2static\LICENSE.txt for details on that software.
% 
% This software may be referenced as:
% 
% A.R.Cohen and P.M.B. Vitanyi, "Normalized Compression Distance of Multisets 
% with Applications," IEEE Transactions on Pattern Analysis and Machine 
% Intelligence. 2014. In Press. Also arXiv:1212.5711.  
% 
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions
% are met:
% 
% 1. Redistributions of source code must retain the above copyright
%    notice, this list of conditions and the following disclaimer.
% 
% 2. The origin of this software must not be misrepresented; you must 
%    not claim that you wrote the original software.  If you use this 
%    software in a product, an acknowledgment in the product 
%    documentation would be appreciated but is not required.
% 
% 3. Altered source versions must be plainly marked as such, and must
%    not be misrepresented as being the original software.
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% 4. The name of the author may not be used to endorse or promote 
%    products derived from this software without specific prior written 
%    permission.
% 
% THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS
% OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
% WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
% ARE DISCLAIMED.  IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY
% DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
% DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
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% NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
% SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
% 
% Andrew R. Cohen acohen@coe.drexel.edu
% Paul M. B. Vitanyi Paul.Vitanyi@cwi.nl
% NCDM  version 1.0 of 13 March 2013
% NCDM  version 2.0 (release) November 2014
% 
% ******************************************************************************/

% this is just the min distance classifier - actual classification is using
% neural network on results - see ..\classifyResults
function class = GoClassify(nt,Training,NCDTraining,index)

d=[];
NCDx=[];

for i=1:size(Training,1)
    for j=0:9
        idx=find([Training(i,:).idxTrue]==j);
        worklist=[nt];
        for w=1:length(idx)
            worklist=[worklist Training(i,idx(w))];
        end
        NCDx(i,j+1) = NCD(worklist,index);
    end
     d = [d; (NCDx(i,:) - NCDTraining(i,:))];   
    
end

dx=median(d,1);
[mm idxClassify] = min((dx));
idxClassify=idxClassify-1;
 drawnow;
 bCorrect = nt.idxTrue==idxClassify;
 class = [bCorrect idxClassify nt.idxTrue d(:)'];