rep_optimBn

Matrix of squared Euclidean distances between all data points.

Result of previous bootstrap (if available). If, -1, a new bootstrap is performed for the variance of Bn.

bootB

Finds the configuration with max Bn among all configurations.

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 S<c3><ad>lvia 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>.

Gabriela Cybis

uclust

rep_optimBn: Optimization function with multiple staring points (for local optima)

Description

Usage

Arguments