cosnormX

Normalizes a numeric matrix dividing each row (if rows=TRUE) or column (if rows=FALSE)
by their L2 norm. Thus, each row (or column) has unit norm.

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

cosnormX function

<dl><dt>X</dt>
<dd>Numeric matrix or data.frame of any size.</dd>
<dt>rows</dt>
<dd>If TRUE, the operation is done by row; otherwise, it is done by
column. (Defaults: TRUE).</dd></dl>

Arguments

Cosine normalization of a matrix — cosnormX

<dl>

<dt>X</dt>
<dd>Numeric matrix or data.frame of any size.</dd>


<dt>rows</dt>
<dd>If TRUE, the operation is done by row; otherwise, it is done by
column. (Defaults: TRUE).</dd>

</dl>

cosnormX: Cosine normalization of a matrix

Description

Usage

Value

Arguments

Examples