AI-NeuralNet-SOM
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lib/AI/NeuralNet/SOM.pm view on Meta::CPAN
Returns the output dimensions of the map as passed in at constructor time.
=cut
sub output_dim {
my $self = shift;
return $self->{output_dim};
}
=pod
=item I<radius> (read-only)
I<$radius> = I<$nn>->radius
Returns the I<radius> of the map. Different topologies interpret this differently.
=item I<map>
I<$m> = I<$nn>->map
This method returns a reference to the map data. See the appropriate subclass of the data
representation.
=cut
sub map {
my $self = shift;
return $self->{map};
}
=pod
=item I<value>
I<$val> = I<$nn>->value (I<$x>, I<$y>)
I<$nn>->value (I<$x>, I<$y>, I<$val>)
Set or get the current vector value for a particular neuron. The neuron is addressed via its
coordinates.
=cut
sub value {
my $self = shift;
my ($x, $y) = (shift, shift);
my $v = shift;
return defined $v ? $self->{map}->[$x]->[$y] = $v : $self->{map}->[$x]->[$y];
}
=pod
=item I<label>
I<$label> = I<$nn>->label (I<$x>, I<$y>)
I<$nn>->label (I<$x>, I<$y>, I<$label>)
Set or get the label for a particular neuron. The neuron is addressed via its coordinates.
The label can be anything, it is just attached to the position.
=cut
sub label {
my $self = shift;
my ($x, $y) = (shift, shift);
my $l = shift;
return defined $l ? $self->{labels}->[$x]->[$y] = $l : $self->{labels}->[$x]->[$y];
}
=pod
=item I<as_string>
print I<$nn>->as_string
This methods creates a pretty-print version of the current vectors.
=cut
sub as_string { die; }
=pod
=item I<as_data>
print I<$nn>->as_data
This methods creates a string containing the raw vector data, row by
row. This can be fed into gnuplot, for instance.
=cut
sub as_data { die; }
=pod
=back
=head1 HOWTOs
=over
=item I<using Eigenvectors to initialize the SOM>
See the example script in the directory C<examples> provided in the
distribution. It uses L<PDL> (for speed and scalability, but the
results are not as good as I had thought).
=item I<loading and saving a SOM>
See the example script in the directory C<examples>. It uses
C<Storable> to directly dump the data structure onto disk. Storage and
retrieval is quite fast.
=back
=head1 FAQs
=over
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