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>.
