mpinv

Computes the Moore-Penrose inverse (a.k.a., generalized inverse or pseudoinverse) of a matrix based on singular-value decomposition (SVD).

generalized inverse

pseudoinverse

Finds a low-dimensional embedding of high-dimensional data, conditioning on available manifold information. The current version supports conditional MDS (based on either conditional SMACOF in Bui (2021) <arXiv:2111.13646> or closed-form solution in Bui (2022) <doi:10.1016/j.patrec.2022.11.007>) and conditional ISOMAP in Bui (2021) <arXiv:2111.13646>.

Anh Bui

Conditional Manifold Learning

mpinv function

<dl> <dt>A</dt>
<dd>a matrix of real numbers.</dd> <dt>eps</dt>
<dd>a threshold (to be multiplied with the largest singular value) for dropping SVD parts that correspond to small singular values.</dd></dl>

Arguments

Author

Moore-Penrose Inverse — mpinv

<dl>

 <dt>A</dt>
<dd>a matrix of real numbers.</dd>

 <dt>eps</dt>
<dd>a threshold (to be multiplied with the largest singular value) for dropping SVD parts that correspond to small singular values.</dd>

</dl>

mpinv: Moore-Penrose Inverse

Description

Usage

Value

Arguments

Author

Examples