cluster [-v?]  [ -Ck ] [ -ck ] [ -o outfile ] [ files ]

       cluster takes as input a graph in DOT format, finds node  clusters  and
       augments  the  graph with this information.  The clusters are specified
       by the "cluster" attribute attached to nodes; cluster values  are  non-
       negative  integers.  cluster attempts to maximize the modularity of the
       clustering.  If the edge attribute "weight" is defined,  this  will  be
       used in computing the clustering.

       The following options are supported:

       -Ck    specifies  a  targeted  number of clusters that should be gener-
              ated.  The specified number k is only a suggestion and  may  not
              be  realisable.   If k == 0, the default, the number of clusters
              that approximately optimizes the modularity is returned.

       -ck    specifies clustering method.  If k == 0, the default, modularity
              clustering  will  be used.  If k == 1 modularity quality will be

              Specifies that output  should  go  into  the  file  outfile.  By
              default, stdout is used.

       -v     Verbose mode.

       Applying cluster to the following graph,

          graph {
              1--2 [weight=10.]
              2--3 [weight=1]
              3--4 [weight=10.]
              4--5 [weight=10]
              5--6 [weight=10]
              3--6 [weight=0.1]
              4--6 [weight=10.]


          graph {
                node [cluster="-1"];
                1 [cluster=1];
                2 [cluster=1];
                3 [cluster=2];
                4 [cluster=2];
                5 [cluster=2];
                6 [cluster=2];
                1 -- 2 [weight="10."];
                2 -- 3 [weight=1];

       Blondel,  V.D.,  Guillaume,  J.L.,  Lambiotte,  R.,  Lefebvre, E.: Fast
       unfolding of communities in  large  networks.  Journal  of  Statistical
       Mechanics: Theory and Experiment (2008), P10008.

                                 3 March 2011                       CLUSTER(1)
Man Pages Copyright Respective Owners. Site Copyright (C) 1994 - 2019 Hurricane Electric. All Rights Reserved.