ccor

Computes canonical correlations for two sets of multivariate data <code>x</code> and <code>y</code>.

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

ccor function

<dl> <dt>x</dt>
<dd>the first multivariate dataset.</dd> <dt>y</dt>
<dd>the second multivariate dataset.</dd></dl>

Arguments

Author

Canonical Correlations — ccor

<dl>

 <dt>x</dt>
<dd>the first multivariate dataset.</dd>

 <dt>y</dt>
<dd>the second multivariate dataset.</dd>

</dl>

ccor: Canonical Correlations

Description

Usage

Value

Arguments

Author

Examples