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Robert Barta > AI-NeuralNet-SOM-0.07 > AI::NeuralNet::SOM::Hexa
Module Version: 0.02

# NAME

AI::NeuralNet::SOM::Hexa - Perl extension for Kohonen Maps (hexagonal topology)

# SYNOPSIS

```  use AI::NeuralNet::SOM::Hexa;
my \$nn = new AI::NeuralNet::SOM::Hexa (output_dim => 6,
input_dim  => 3);

# INTERFACE

## Constructor

The constructor takes the following arguments (additionally to those in the base class):

`output_dim` : (mandatory, no default)

A positive, non-zero number specifying the diameter of the hexagonal. `1` creates one with a single hexagon, `2` one with 4, `3` one with 9. The number plays the role of a diameter.

Example:

```    my \$nn = new AI::NeuralNet::SOM::Hexa (output_dim => 6,
input_dim  => 3);```

## Methods

Returns the radius (half the diameter).

diameter

Returns the diameter (= dimension) of the hexagon.

map

\$m = \$nn->map

This method returns the 2-dimensional array of vectors in the grid (as a reference to an array of references to arrays of vectors).

Example:

```   my \$m = \$nn->map;
for my \$x (0 .. \$nn->diameter -1) {
for my \$y (0 .. \$nn->diameter -1){
warn "vector at \$x, \$y: ". Dumper \$m->[\$x]->[\$y];
}
}```

This array represents a hexagon like this (ASCII drawing is so cool):

```               <0,0>
<0,1>   <1,0>
<0,2>   <1,1>   <2,0>
<0,3>   <1,2>   <2,1>   <3,0>
...............................```
as_string

Not implemented.

as_data

Not implemented.

# AUTHOR

Robert Barta, <rho@devc.at>