heatK

`heatK()` plots the heatmap of a kernel 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

heatK function

<dl><dt>K</dt>
<dd>Kernel matrix (class "matrix").</dd>
<dt>cos.norm</dt>
<dd>If TRUE, the cosine normalization is applied to the kernel matrix
so its elements have a maximum value of 1. (Defaults: FALSE).</dd>
<dt>title</dt>
<dd>Heatmap title (optional).</dd>
<dt>color</dt>
<dd>A vector of length 2 containing two colors. The first color will be
used to represent the minimum value and the second the maximum value of the kernel matrix.</dd>
<dt>name_leg</dt>
<dd>Title of the legend.</dd>
<dt>raster</dt>
<dd>In large kernel matrices, raster = TRUE will draw quicker and
better-looking heatmaps. (Defaults=FALSE).</dd></dl>

Arguments

Kernel matrix heatmap — heatK

<dl>

<dt>K</dt>
<dd>Kernel matrix (class "matrix").</dd>


<dt>cos.norm</dt>
<dd>If TRUE, the cosine normalization is applied to the kernel matrix
so its elements have a maximum value of 1. (Defaults: FALSE).</dd>


<dt>title</dt>
<dd>Heatmap title (optional).</dd>


<dt>color</dt>
<dd>A vector of length 2 containing two colors. The first color will be
used to represent the minimum value and the second the maximum value of the kernel matrix.</dd>


<dt>name_leg</dt>
<dd>Title of the legend.</dd>


<dt>raster</dt>
<dd>In large kernel matrices, raster = TRUE will draw quicker and
better-looking heatmaps. (Defaults=FALSE).</dd>

</dl>

heatK: Kernel matrix heatmap

Description

Usage

Value

Arguments

Examples