predict.plfd

Predict Method for <code>plfd</code>

The portmanteau local feature discriminant approach first identifies the local
discriminant features and their differential structures, then constructs the
discriminant rule by pooling the identified local features together. This method
is applicable to high-dimensional matrix-variate data.
See the paper by Xu, Luo and Chen (2021, <doi:10.1007/s13171-021-00255-2>).

Zengchao Xu

PLFD

Portmanteau Local Feature Discrimination for Matrix-Variate Data

Shan Luo

Zehua Chen

predict.plfd function

<dl><dt>object</dt>
<dd><code>plfd</code> object.</dd>
<dt>x</dt>
<dd>Array, matrix-variate data to be predicted.</dd>
<dt>y</dt>
<dd>Vector (optional), Labels of <code>x</code> with value <code>1</code> or <code>2</code>.</dd>
<dt>...</dt>
<dd>Ignored currently.</dd></dl>

Arguments

Predict Method for plfd — predict.plfd

<dl>

<dt>object</dt>
<dd><code>plfd</code> object.</dd>


<dt>x</dt>
<dd>Array, matrix-variate data to be predicted.</dd>


<dt>y</dt>
<dd>Vector (optional), Labels of <code>x</code> with value <code>1</code> or <code>2</code>.</dd>


<dt>...</dt>
<dd>Ignored currently.</dd>

</dl>

predict.plfd: Predict Method for `plfd`

Description

Usage

Value

Arguments