dagsvm.m

有向无环图支持向量(DAG-SVMS)多类分类方法,是一种新的多类分类方法。该方法采用了最小超球体类包含作为层次分类依据。试验结果表明,采用该方法进行多类分类,跟已有的分类方法相比有更高的分类精度。

function net = dagsvm(arg)

% PAIRWISE
%
% Construct a dag-svm multi-class support vector classification network.
%
% Examples:
%
%    % default constructor (a 0-class dagsvm network!)
%
%    net1 = dagsvm;
%
%    % copy constructor
%
%    net2 = dagsvm(net1);
%
%    % construct dagsvm multi-class svc from a vector of two-class networks
%
%    net3 = dagsvm(net)

%
% File        : @dagsvm/dagsvm.m
%
% Date        : Wednesday 13th September 2000
%
% Author      : Dr Gavin C. Cawley
%
% Description : Constructor for a class providing a framework for constructing
%               multi-class support vector classification networks from a set
%               of two-class networks using the dagsvm rule.  Part of an
%               object-oriented implementation of Vapnik's Support Vector
%               Machine, as described in [1].
%
% References  : [1] V.N. Vapnik,
%                   "The Nature of Statistical Learning Theory",
%                   Springer-Verlag, New York, ISBN 0-387-94559-8,
%                   1995.
%
% History     : 13/09/2000 - v1.00
%
% Copyright   : (c) Dr Gavin C. Cawley, September 2000
%
%    This program is free software; you can redistribute it and/or modify
%    it under the terms of the GNU General Public License as published by
%    the Free Software Foundation; either version 2 of the License, or
%    (at your option) any later version.
%
%    This program is distributed in the hope that it will be useful,
%    but WITHOUT ANY WARRANTY; without even the implied warranty of
%    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
%    GNU General Public License for more details.
%
%    You should have received a copy of the GNU General Public License
%    along with this program; if not, write to the Free Software
%    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
%

if nargin == 0
   
   % this is the default constructor
   
   net.net = svc;
   net     = class(net, 'dagsvm');
   
elseif nargin == 1

   if isa(arg, 'dagsvm');
   
      % this is the copy constructor
   
      net = arg;

   end
   
elseif nargin > 1

   % there are no other constructors
   
   help dagsvm

else
   
   net.net = arg;
   net     = class(net, 'dagsvm');
   
end

% bye bye...