📄 homog2.m
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function [NX]=homog2(X,I)
% HOMOG2 introduces homogenous coordinates.
% [NX]=homog2(X,I)
%
% HOMOG2 adds one constant coordinate to a training set so
% that the original task of finding arbitrary placed hyperplane
% becomes simpler. More precisely, the original task is to find
% a vector alpha and a threshold theta (determining hyperplane)
% for which holds
% alpha' * x >= theta for any x from the first class
% alpha' * x < theta for any x from the second class
%
% After adding of one constant coordinate the original task
% changes to equivalent one where the goal is to find nalpha
% (hyperplane going through the origin) for which holds
% nalpha' * nx >= 0 for any nx from the first class
% nalpha' * nx < 0 for any nx from the second class
%
% Input:
% X [NxM] is a matrix containing M points in N-dimensional
% feature space. So that X=[x1,x2 ...xM] and xs are
% column vectors.
% I [1xM] is a vector of class labels for each point. In this
% case possible value is 1 for first class or 2 for
% second class.
%
% Output:
% NX [NxM] is matrix of transformed points.
%
% See also CTRANSF.
%
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Written Vojtech Franc (diploma thesis) 24.10.1999
% Modifications
I=-(I*2-3);
NX=[X;ones(1,size(X,2))].*repmat(I,size(X,1)+1,1);
return;
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