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pro vyhledávání: '"Keefe, Thomas H."'
Autor:
Keefe, Thomas H., Marron, J. S.
Clustering methods are popular for revealing structure in data, particularly in the high-dimensional setting common to contemporary data science. A central statistical question is, "are the clusters really there?" One pioneering method in statistical
Externí odkaz:
http://arxiv.org/abs/2308.13079
Autor:
Keefe, Thomas H., Minnig, Mary Catherine, Arbeeva, Liubov, Niethammer, Marc, Xu, Zhenlin, Shen, Zhengyang, Chen, Boqi, Nissman, Daniel B., Golightly, Yvonne M., Marron, J.S., Nelson, Amanda E.
Publikováno v:
In Osteoarthritis and Cartilage Open March 2023 5(1)
Autor:
Nelson, Amanda E.1 (AUTHOR) aenelson@med.unc.edu, Keefe, Thomas H.2 (AUTHOR), Schwartz, Todd A.1,3 (AUTHOR), Callahan, Leigh F.1 (AUTHOR), Loeser, Richard F.1 (AUTHOR), Golightly, Yvonne M.1,4 (AUTHOR), Arbeeva, Liubov1 (AUTHOR), Marron, J. S.2 (AUTHOR)
Publikováno v:
PLoS ONE. 5/24/2022, Vol. 17 Issue 5, p1-20. 20p.