123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104 |
- .de TQ
- . br
- . ns
- . TP \\$1
- ..
- .TH CLUSTER 1 "3 March 2011"
- .SH NAME
- cluster \- find clusters in a graph and augment the graph with this information.
- .SH SYNOPSIS
- .B cluster
- [\fB\-v?\fP]
- [
- .BI \-C k
- ]
- [
- .BI \-c k
- ]
- [
- .B \-o
- .I outfile
- ]
- [
- .I files
- ]
- .SH DESCRIPTION
- .B 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.
- .B cluster
- attempts to maximize the modularity of the clustering.
- If the edge attribute "weight" is defined, this will be used in
- computing the clustering.
- .SH OPTIONS
- The following options are supported:
- .TP
- .BI \-C k
- specifies a targeted number of clusters that should be generated.
- The specified number \fIk\fP is only a suggestion and may not be realisable.
- If \fIk == 0\fP, the default, the number of clusters that approximately optimizes the modularity is returned.
- .TP
- .BI \-c k
- specifies clustering method.
- If \fIk == 0\fP, the default, modularity clustering will be used.
- If \fIk == 1\fP modularity quality will be used.
- .TP
- .BI \-o outfile
- Specifies that output should go into the file \fIoutfile\fP. By default,
- \fIstdout\fP is used.
- .TP
- .BI \-v
- Verbose mode.
- .TP
- .BI \-?
- Prints the usage and exits.
- .SH EXAMPLES
- .PP
- Applying
- .B cluster
- to the following graph,
- .PP
- .nf
- \fB 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.]
- }\fP
- .fi
- .PP
- gives
- .PP
- .nf
- \fB 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."];
- }\fP
- .fi
- .SH AUTHOR
- Yifan Hu <[email protected]>
- .SH "SEE ALSO"
- .PP
- gvmap(1)
- .PP
- 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.
|