Skip to content
Snippets Groups Projects
Select Git revision
  • master
1 result

goCombine.m

Blame
  • goCombine.m 4.64 KiB
    % 
    % /******************************************************************************
    % 
    % 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.
    % 
    % 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
    % GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
    % INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
    % WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
    % 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
    % 
    % ******************************************************************************/
    
    % reads the results files, and builds the classifier input
    % use before calling goNN (neural net) or goDT (ensemble of random subspace
    % discriminant classifiers)
    %
    %
    %
    ROOT= '..\results\';
    Dataset={...
        'trainNISTn5r100.mat','testNISTn5r100.mat';
        'trainNISTn5r100v2.mat','testNISTn5r100v2.mat';
        'trainNISTn5r100v3.mat','testNISTn5r100v3.mat';
        'trainNISTn5r100v4.mat','testNISTn5r100v4.mat';
        'trainNISTn5r100v5.mat', 'testNISTn5r100v5.mat';
        'trainNISTn5r100v6.mat', 'testNISTn5r100v6.mat';
        'trainNISTn5r100v7.mat', 'testNISTn5r100v7.mat';
        'trainNISTn5r100v8.mat', 'testNISTn5r100v8.mat'