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kitty4

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function D = C4_5(train_features, train_targets, inc_node, region)

% Classify using Quinlan's C4.5 algorithm
% Inputs:
%  features - Train features
% targets     - Train targets
% inc_node    - Percentage of incorrectly assigned samples at a node
% region     - Decision region vector: [-x x -y y number_of_points]
%
% Outputs
% D   - Decision sufrace

%NOTE: In this implementation it is assumed that a feature vector with fewer than 10 unique values (the parameter Nu)
%is discrete, and will be treated as such. Other vectors will be treated as continuous

[Ni, M]  = size(train_features);
inc_node    = inc_node*M/100;
Nu          = 10;

%For the decision region
N           = region(5);
mx          = ones(N,1) * linspace (region(1),region(2),N);
my          = linspace (region(3),region(4),N)' * ones(1,N);
flatxy      = [mx(: ), my(: )]';

[ Last edited by kitty4 on 2009-10-24 at 16:53 ]
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