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lib/Algorithm/LinearManifoldDataClusterer.pm  view on Meta::CPAN

  $clusterer->display_reconstruction_errors_as_a_function_of_iterations();

  #  When your data is 3-dimensional and when the clusters reside on a surface that
  #  is more or less spherical, you can visualize the clusters by calling

  $clusterer->visualize_clusters_on_sphere("final clustering", $clusters);

  #  where the first argument is a label to be displayed in the 3D plot and the
  #  second argument the value returned by calling linear_manifold_clusterer().

  #  SYNTHETIC DATA GENERATION:

  #  The module includes an embedded class, DataGenerator, for generating synthetic
  #  three-dimensional data that can be used to experiment with the clustering code.
  #  The synthetic data, written out to a CSV file, consists of Gaussian clusters on
  #  the surface of a sphere.  You can control the number of clusters, the width of
  #  each cluster, and the number of samples in the clusters by giving appropriate
  #  values to the constructor parameters as shown below:

  use strict;
  use Algorithm::LinearManifoldDataClusterer;

lib/Algorithm/LinearManifoldDataClusterer.pm  view on Meta::CPAN

    my $clusters = $clusterer->auto_retry_clusterer();

As mentioned earlier, the module is programmed in such a way that it is more likely
to fail than to give you a wrong answer.  If manually trying the clusterer repeatedly
on a data file is frustrating, you can use C<auto_retry_clusterer()> to automatically
make repeated attempts for you.  See the script C<example4.pl> for how you can use
C<auto_retry_clusterer()> in your own code.

=back

=head1 GENERATING SYNTHETIC DATA FOR EXPERIMENTING WITH THE CLUSTERER

The module file also contains a class named C<DataGenerator> for generating synthetic
data for experimenting with linear-manifold based clustering.  At this time, only
3-dimensional data that resides in the form of Gaussian clusters on the surface of a
sphere is generated.  The generated data is placed in a CSV file.  You construct an
instance of the C<DataGenerator> class by a call like:

=over 4

=item B<new():>