Last data update: 2014.03.03
|
ADPclust
Package: ADPclust
Type: Package
Title: Fast Clustering Using Adaptive Density Peak Detection
Version: 0.6.5
Authors@R: c(person("Yifan "Ethan"", "Xu", email = "ethan.yifanxu@gmail.com", role = c("aut","cre")), person("Xiao-Feng", "Wang", email = "wangx6@ccf.org", role = "aut"))
Description: An implementation of ADPclust clustering procedures (Fast
Clustering Using Adaptive Density Peak Detection). The work is built and
improved upon Rodriguez and Laio[2014]'s idea. ADPclust clusters data by finding
density peaks in a density-distance plot generated from local multivariate
Gaussian density estimation. It includes an automatic centroids selection and
parameter optimization algorithm, which finds the number of clusters and cluster
centroids by comparing average silhouettes on a grid of testing clustering
results; It also includes an user interactive algorithm that allows the user
to manually selects cluster centroids from a two dimensional "density-distance
plot".
Depends: R (>= 3.0.0),
Imports: dplyr, cluster, fields, knitr
URL: https://github.com/ethanyxu/ADPclust
BugReports: https://github.com/ethanyxu/ADPclust/issues
VignetteBuilder: knitr
License: GPL (>= 2)
LazyData: true
Suggests: rmarkdown
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-12-03 14:50:04 UTC; ethan.xu
Author: Yifan "Ethan" Xu [aut, cre],
Xiao-Feng Wang [aut]
Maintainer: Yifan "Ethan" Xu <ethan.yifanxu@gmail.com>
Repository: CRAN
Date/Publication: 2015-12-03 17:44:28
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'ADPclust' ...
** package 'ADPclust' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'ADPclust'
finding HTML links ... done
ADPclust html
AMISE html
ROT html
clust10 html
clust3 html
clust5.1 html
clust5 html
dat_gene html
findCluster html
findClusterAuto html
findFd html
plot.adpclust html
summary.adpclust html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (ADPclust)
Making 'packages.html' ... done
|