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) doi:10.48550/arXiv.2106.09115.
- Version1.0.0
- R version≥ 3.4.0
- LicenseGPL-3
- Needs compilation?No
- Gabriela B. Cybis, Marcio Valk and Sílvia RC Lopes (2018)
- Marcio Valk and Gabriela B. Cybis (2020)
- Debora Z. Bello, Marcio Valk and Gabriela B. Cybis (2021)
- Last release06/18/2021
Documentation
Team
Gabriela Cybis
Marcio Valk
Show author detailsRolesAuthorKazuki Yokoyama
Show author detailsRolesContributorDebora Zava Bello
Show author detailsRolesContributor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN