Clustering and Classification Inference with U-Statistics

Clustering and classification inference for high dimension low sample size (HDLSS) 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. See Gabriela B. Cybis, Marcio Valk and Sílvia RC Lopes (2018) and Marcio Valk and Gabriela B. Cybis (2018) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.0 by Gabriela Cybis, 5 days ago

Browse source code at

Authors: Gabriela Cybis [aut, cre] , Marcio Valk [aut] , Kazuki Yokoyama [ctb]

Documentation:   PDF Manual  

GPL-3 license

Depends on dendextend, robcor

Suggests testthat

See at CRAN