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

11 images, 8 functions, 5 datasets
● Reverse Depends: 0

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