frobNorm

This function computes the Frobenius normalization of a matrix.

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

frobNorm function

<dl><dt>X</dt>
<dd>Numeric matrix of any size. It may be a kernel matrix.</dd></dl>

Arguments

Frobenius normalization — frobNorm

<dl>

<dt>X</dt>
<dd>Numeric matrix of any size. It may be a kernel matrix.</dd>

</dl>

frobNorm: Frobenius normalization

Description

Usage

Value

Arguments

Examples