Learn R Programming

⚠️There's a newer version (1.0.0) of this package.Take me there.

Uclust: Clustering and Classification Inference for HDLSS Data with U-Statistics

Package may be downloaded on CRAN

Clustering and classification inference for high dimension low sample size data with U-statistics. The package contains implementations of nonparametric statistical tests for sample homogeneity, group separation, clustering, and classification of multivariate data. The methods have high statistical power and are tailored for data in which the dimension L is much larger than sample size n.

The package contains functions for nonparamentric tests:

  • Bn test for group separation with 2 predefined groups
  • Overall group homogeneity testing
  • Clustering of a sample into the best two significant subgroups
  • Hierarchical clustering considering only significant subgroups
  • Significant classification of a new observation into one of two predefined groups

Copy Link

Version

Install

install.packages('uclust')

Monthly Downloads

141

Version

0.1.0

License

GPL-3

Maintainer

Gabriela Cybis

Last Published

February 11th, 2019

Functions in uclust (0.1.0)

uclust

U-statistic based significance clustering
uhclust

U-statistic based significance hierarchical clustering
utest

U test
print.utest_classify

Simple print method for utest_classify objects.
plot_uhclust

Plot function for the result of uhclust
bn

Computes Bn Statistic.
var_bn

Variance of Bn
is_homo

U-statistic based homogeneity test
utest_classify

Test for classification of a sample in one of two groups.