📄 linear.m
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function ker = linear(arg)
% LINEAR
%
% Construct a linear kernel object,
%
% K(x1, x2) = x1.x2';
%
% Examples:
%
% % default constructor
%
% ker1 = linear;
%
% % copy constructor
%
% ker2 = linear(ker1);
%
% File : @linear/linear.m
%
% Date : Tuesday 12th September 2000
%
% Author : Dr Gavin C. Cawley
%
% Description : 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 : 07/07/2000 - v1.00
% 12/09/2000 - v1.01 minor improvements to comments and help
% messages
%
% 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
ker.dummy = [];
ker = class(ker, 'linear');
elseif isa(a, 'linear');
% this is the copy constructor
ker = a;
else
% there are no other constructors
help linear
end
% bye bye...
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