classifier.discriminant_projector

Constructs a k-NN classifier for a discriminant projector, with an option to use a subset of the components.

Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.

Bradley Buchsbaum

multivarious

Extensible Data Structures for Multivariate Analysis

classifier.discriminant_projector function

<dl><dt>x</dt>
<dd>the discriminant projector object</dd>
<dt>colind</dt>
<dd>an optional vector specifying the column indices of the components to use for prediction (NULL by default)</dd>
<dt>knn</dt>
<dd>the number of nearest neighbors to consider in the k-NN classifier (default is 1)</dd>
<dt>...</dt>
<dd>extra arguments</dd></dl>

Arguments

Create a k-NN classifier for a discriminant projector — classifier.discriminant_projector

<dl>

<dt>x</dt>
<dd>the discriminant projector object</dd>


<dt>colind</dt>
<dd>an optional vector specifying the column indices of the components to use for prediction (NULL by default)</dd>


<dt>knn</dt>
<dd>the number of nearest neighbors to consider in the k-NN classifier (default is 1)</dd>


<dt>...</dt>
<dd>extra arguments</dd>

</dl>

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classifier.discriminant_projector: Create a k-NN classifier for a discriminant projector

Description

Usage

Value

Arguments