`KTA()` computes the alignment between a kernel matrix and a target variable.

Kernel functions for diverse types of data (including, but not
restricted to: nonnegative and real vectors, real matrices, categorical
and ordinal variables, sets, strings), plus other utilities like kernel
similarity, kernel Principal Components Analysis (PCA) and features'
importance for Support Vector Machines (SVMs), which expand other 'R'
packages like 'kernlab'.

Elies Ramon

kerntools

Kernel Functions and Tools for Machine Learning Applications

KTA function

<dl><dt>K</dt>
<dd>A kernel matrix (class: "matrix").</dd>
<dt>y</dt>
<dd>The target variable. A factor with two levels.</dd></dl>

Arguments

Kernel-target alignment — KTA

<dl>

<dt>K</dt>
<dd>A kernel matrix (class: "matrix").</dd>


<dt>y</dt>
<dd>The target variable. A factor with two levels.</dd>

</dl>

KTA: Kernel-target alignment

Description

Usage

Value

Arguments

Examples