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Top Forums UNIX for Beginners Questions & Answers Clustering for beginners. Few questions. Post 302999238 by Neo on Thursday 15th of June 2017 04:10:37 PM
Old 06-15-2017
The reply to your "How many days" question depends, primarily, on the number of nodes in the cluster, does it not?
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CLUSTER(1)						      General Commands Manual							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 real- isable. 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, the modularity 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. 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@research.att.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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