Last data update: 2014.03.03
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leaderCluster
Package: leaderCluster
Type: Package
Title: Leader Clustering Algorithm
Version: 1.2
Date: 2014-12-11
Author: Taylor B. Arnold
Maintainer: Taylor B. Arnold <taylor.arnold@acm.org>
Description: The leader clustering algorithm provides
a means for clustering a set of data points. Unlike many other clustering
algorithms it does not require the user to specify the number of clusters,
but instead requires the approximate radius of a cluster as its primary
tuning parameter. The package provides a fast implementation of this
algorithm in n-dimensions using Lp-distances (with special cases for p=1,2,
and infinity) as well as for spatial data using the Haversine
formula, which takes latitude/longitude pairs as inputs and clusters
based on great circle distances.
License: LGPL-2
Packaged: 2014-12-15 15:30:02 UTC; taylor
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-12-16 00:58:11
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0 images,
1 functions,
0 datasets
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Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'leaderCluster' ...
** package 'leaderCluster' successfully unpacked and MD5 sums checked
** libs
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c leaderCluster.cpp -o leaderCluster.o
g++ -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o leaderCluster.so leaderCluster.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/leaderCluster/libs
** R
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'leaderCluster'
finding HTML links ... done
leaderCluster html
** building package indices
** testing if installed package can be loaded
* DONE (leaderCluster)
Making 'packages.html' ... done
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