LDRTools-package: Tools for Linear Dimension Reduction

In LDRTools: Tools for Linear Dimension Reduction

Tools for Linear Dimension Reduction

Description

Linear dimension reduction subspaces can be uniquely defined using orthogonal projection matrices. This package provides tools to compute distances between such subspaces and to compute the average subspace. For details see Liski, E.Nordhausen K., Oja H., Ruiz-Gazen A. (2016) Combining Linear Dimension Reduction Subspaces <doi:10.1007/978-81-322-3643-6_7>.

Details

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Author(s)

Eero Liski [aut], Klaus Nordhausen [aut, cre] (<https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut] (<https://orcid.org/0000-0002-4945-5976>), Anne Ruiz-Gazen [aut] (<https://orcid.org/0000-0001-8970-8061>)

Maintainer: Klaus Nordhausen <[e-mail]>

References

Liski E., Nordhausen K., Oja H., and Ruiz-Gazen A. (2016), Combining Linear Dimension Reduction Subspaces. In: Agostinelli C., Basu A., Filzmoser P., Mukherjee D. (eds) Recent Advances in Robust Statistics: Theory and Applications. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-81-322-3643-6_7")}.

LDRTools documentation built on Sept. 18, 2023, 1:06 a.m.