4s-cluster-destroy(1j) [debian man page]

4S-CLUSTER-DESTROY(1J)						      4store						    4S-CLUSTER-DESTROY(1J)

NAME

     4s-cluster-destroy -- Delete the KB from a cluster.

SYNOPSIS

     4s-cluster-destroy kb-name

FILES

     This command depends on the config file /etc/4s-cluster, see 4s-cluster(5).

EXAMPLES

     $ 4s-cluster-destroy demo

     Delete the "demo" knowledgebase. This will completly erase the data in the KB, so use with care.  4s-cluster-start(1).

CAVEATS

     If the kb is currently running then it will not be stopped, so the detached backed processes will persist past the detroy operation.
     4s-cluster-info(1) can be used to check what KBs are curretnly running.

SEE ALSO

     4s-cluster-create(1), 4s-cluster-start(1), 4s-cluster-stop(1), 4s-cluster-info(1)

4store								   July 8, 2009 							    4store

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)