cluster
(1)
Name
cluster - find clusters in a graph and augment the graph
with this information.
Synopsis
cluster [-v?] [ -Ck ] [ -o outfile ] [ files ]
Description
User Commands CLUSTER(1)
NAME
cluster - find clusters in a graph and augment the graph
with this information.
SYNOPSIS
cluster [-v?] [ -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.
-ooutfile
Specifies that output should go into the file outfile.
By default, stdout is used.
-v Verbose mode.
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];
SunOS 5.11 Last change: 3 March 2011 1
User Commands CLUSTER(1)
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 <[email protected]>
ATTRIBUTES
See attributes(5) for descriptions of the following
attributes:
+---------------+------------------+
|ATTRIBUTE TYPE | ATTRIBUTE VALUE |
+---------------+------------------+
|Availability | image/graphviz |
+---------------+------------------+
|Stability | Volatile |
+---------------+------------------+
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.
NOTES
This software was built from source available at
https://java.net/projects/solaris-userland. The original
community source was downloaded from
http://www.graphviz.org/pub/graphviz/sta-
ble/SOURCES/graphviz-2.28.0.tar.gz
Further information about this software can be found on the
open source community website at http://www.graphviz.org/.
SunOS 5.11 Last change: 3 March 2011 2