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README  view on Meta::CPAN

    also perl script implementing MCL - minimcl
    <http://www.micans.org/mcl/scripts/minimcl>.

    This module try to solve two problems:

    * easy integration MCL in perl scripts and modules. Algorithm::MCL
      accept references as input and every reference will be found later in
      some cluster.

    * performance and scale. Algorithm::MCL use Perl Data Language for most
      of its processing and should run very fast on very big clusters. Main
      Algorithm::MCL procedures are written with "pdlpp".

METHODS
  new()
    create new Algorithm::MCL object that accumulate graph edges and process
    data.

  addEdge($ref1, $ref2, $distance)
    add new edge to graph. first two parameters are reference to vertex
    objects. third parameter is "connection strength measurement" between
    vetices. "connection strength measurement" should be number between 0
    and 1, higher number means stronger connectivity. if "connection
    strength measurement" is not defined it set to 1.

  run()

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

This module try to solve two problems:

=over 2

=item *

easy integration MCL in perl scripts and modules. Algorithm::MCL accept references as input and every reference will be found later in some cluster.

=item *

performance and scale. Algorithm::MCL use Perl Data Language for most of its processing and should run very fast on very big clusters. Main Algorithm::MCL procedures are written with "pdlpp".

=back

=head1 METHODS

=head2 new()

create new Algorithm::MCL object that accumulate graph edges and process data.

=head2 addEdge($ref1, $ref2, $distance)

add new edge to graph. first two parameters are reference to vertex objects. third parameter is "connection strength measurement" between vetices. "connection strength measurement" should be number between 0 and 1, higher number means stronger connec...

=head2 run()

apply MCL algorithm on graph. return reference to array that every element is reference to cluser array.

=head1 AUTHOR