AI-NeuralNet-SOM

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Changes  view on Meta::CPAN

	- added output_dim method
	- added ::Torus subclass of ::Rect

0.02  Sa 9. Jun 17:55:23 CEST 2007
	- split ::SOM.pm into ::SOM::Rect and ::SOM::Hexa
	- added more features for initialization
	- factored out vector computation into ::SOM::Utils

0.01  Wed Jun  6 01:08:34 2007
	- original version; created by h2xs 1.23 with options
		-n AI::NeuralNet::SOM -X --use-new-tests
	- first stab on things

README  view on Meta::CPAN

Yet another implementation of Kohonen's SOMs (self organizing maps):
multidimensional vector samples in, 2-dimensional out, clusters become
visible. Nice.

INSTALLATION

To install this module type the following:

   perl Makefile.PL
   make
   make test
   make install

Copyright (C) 2007 by Robert Barta

This library is free software; you can redistribute it and/or modify
it under the same terms as Perl itself, either Perl version 5.8.8 or,
at your option, any later version of Perl 5 you may have available.

t/hexa.t  view on Meta::CPAN

#########################

# change 'tests => 1' to 'tests => last_test_to_print';

use Test::More qw(no_plan);
BEGIN { use_ok('AI::NeuralNet::SOM::Hexa') };

######

use Data::Dumper;

{
    my $nn = new AI::NeuralNet::SOM::Hexa (output_dim => 6,

t/pods.t  view on Meta::CPAN

#== TESTS =====================================================================

use strict;

use Test::More;
eval "use Test::Pod 1.00";
plan skip_all => "Test::Pod 1.00 required for testing POD" if $@;

my @PODs = qw(
	      lib/AI/NeuralNet/SOM.pm
	      lib/AI/NeuralNet/SOM/Rect.pm
	      lib/AI/NeuralNet/SOM/Hexa.pm
	      lib/AI/NeuralNet/SOM/Torus.pm
              );
plan tests => scalar @PODs;

map {
    pod_file_ok ( $_, "$_ pod ok" )
    } @PODs;

t/rect.t  view on Meta::CPAN

#########################

# change 'tests => 1' to 'tests => last_test_to_print';

use Test::More qw(no_plan);
BEGIN { use_ok('AI::NeuralNet::SOM::Rect') };

######
use Data::Dumper;

{
    my $nn = new AI::NeuralNet::SOM::Rect (output_dim => "5x6",
					   input_dim  => 3);

t/som.t  view on Meta::CPAN

#########################

# Change 'tests => 1' to 'tests => last_test_to_print';

use Test::More qw(no_plan);
BEGIN { use_ok('AI::NeuralNet::SOM') };

######
use Data::Dumper;

{
    use AI::NeuralNet::SOM::Rect;    # any non-abstract subclass should do
    my $nn = new AI::NeuralNet::SOM::Rect (output_dim => "5x6",

t/torus.t  view on Meta::CPAN

#########################

# change 'tests => 1' to 'tests => last_test_to_print';

use Test::More qw(no_plan);
BEGIN { use_ok('AI::NeuralNet::SOM::Torus') };

######
use Data::Dumper;

{
    my $nn = new AI::NeuralNet::SOM::Torus (output_dim => "5x6",
					    input_dim  => 3);