References

[AW10]

Abdi, H., & Williams, L. J. Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 433-459, 2010. DOI: https://doi.org/10.1002/wics.101

[GE65]

Gehan, E. A. A generalized Wilcoxon test for comparing arbitrarily singly-censored samples. Biometrika, 52(1-2), 203-224, 1965. DOI: https://doi.org/10.1093/biomet/52.1-2.203

[KT15]

Kim, T. K. T test as a parametric statistic. Korean Journal of Anesthesiology, 68(6), 540-546, 2015. DOI: https://doi.org/10.4097/kjae.2015.68.6.540

[MMH18]

McInnes, L., Healy, J., & Melville, J. UMAP: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426, 2018. DOI: https://doi.org/10.48550/arXiv.1802.03426

[Mu57]

Munkres, J. Algorithms for the assignment and transportation problems. Journal of the Society for Industrial and Applied Mathematics, 5(1), 32-38, 1957. DOI: https://doi.org/10.1137/0105003

[PZ19]

Panaretos, V. M., & Zemel, Y. Statistical aspects of Wasserstein distances. Annual Review of Statistics and Its Application, 6(1), 405-431, 2019. DOI: https://doi.org/10.1146/annurev-statistics-030718-104938

[RL14]

Rodriguez, A., & Laio, A. Clustering by fast search and find of density peaks. Science, 344(6191), 1492-1496, 2014. DOI: https://doi.org/10.1126/science.1242072

[VH08]

Van der Maaten, L., & Hinton, G. Visualizing data using t-SNE. Journal of Machine Learning Research, 9(11), 2008. url: http://jmlr.org/papers/v9/vandermaaten08a.html