uclust: 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) <doi:10.1080/00949655.2017.1374387>, Marcio Valk and Gabriela B. Cybis (2020) <doi:10.1080/10618600.2020.1796398>, Debora Z. Bello, Marcio Valk and Gabriela B. Cybis (2021) <arXiv:2106.09115>.

Getting started

Package details

AuthorGabriela Cybis [aut, cre], Marcio Valk [aut], Kazuki Yokoyama [ctb], Debora Zava Bello [ctb]
MaintainerGabriela Cybis <gcybis@gmail.com>
Package repositoryView on CRAN
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uclust documentation built on June 19, 2021, 1:06 a.m.