CLUSTER(1) User Commands CLUSTER(1)

NAME


cluster - find clusters in a graph and augment the graph with this
information.

SYNOPSIS


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

DESCRIPTION


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.

OPTIONS


The following options are supported:

-Ck specifies a targeted number of clusters that should be
generated. 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 used.

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

-v Verbose mode.

-? Prints the usage and exits.

EXAMPLES


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.]
}

gives

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];
3 -- 4 [weight="10."];
4 -- 5 [weight=10];
5 -- 6 [weight=10];
3 -- 6 [weight="0.1"];
4 -- 6 [weight="10."];
}


AUTHOR


Yifan Hu <yifanhu@yahoo.com>

SEE ALSO


gvmap(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)

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