In rafaelslins/Rclust: Partitional Clustering High Dimensional Data Based on P-Values Using Parallel Processing

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
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Rclust

Installation

#install.packages(devtools)
devtools::install_github("rafaelslins/Rclust")

Usage

library(Rclust)

References

• G. von Borries. Partition clustering of High Dimensional Low Sample Size data based on P-Values. PhD Thesis, 2008.

• G. von Borries. A SAS/JMP Integration for Implementation of a Clustering Algorithm for High Dimensional Low Sample Size Data. SAS Global Forum. Paper 283, 2009.

• H. Wang and M. G. Akritas. Rank tests for anova with large number of factor levels. Journal of Nonparametric Statistics, 16(3-4):563–589, 2004. URL https://doi.org/10.1080/10485250310001624774.

rafaelslins/Rclust documentation built on May 4, 2020, 12:16 a.m.