comment on

k-means clustering ? --> Algorithm::KMeans

update

With aforementioned module you can even choose the range of permitted clusters


  # For very large data files, setting K to 0 will result in searching
+ through too
  # many values for K.  For such cases, you can range limit the values
+ of K to search
  # through by

  my $clusterer = Algorithm::KMeans->new( datafile => $datafile,
                                          mask     => "N111",
                                          Kmin     => 3,
                                          Kmax     => 10,
                                          cluster_seeding => 'random',
+    # or 'smart'
                                          terminal_output => 1,
                                          write_clusters_to_files => 1
+,
                                        );
[download]

Cheers Rolf
_{(addicted to the Perl Programming Language and ☆☆☆☆ :)

Wikisyntax for the Monastery}

In reply to Re: Groups of Objects with Common Attributes by LanX
in thread Groups of Objects with Common Attributes by Dev Null

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