Laplace

`Laplace()` computes the laplacian kernel between all possible pairs of rows of a
matrix or data.frame with dimension NxD.

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

Laplace function

<dl><dt>X</dt>
<dd>Matrix or data.frame that contains real numbers ("integer", "float" or "double").</dd>
<dt>g</dt>
<dd>Gamma hyperparameter. If g=0 or NULL, `Laplace()` returns the Manhattan distance
(L1 norm between two vectors). (Defaults=NULL)</dd></dl>

Arguments

Laplacian kernel — Laplace

<dl>

<dt>X</dt>
<dd>Matrix or data.frame that contains real numbers ("integer", "float" or "double").</dd>


<dt>g</dt>
<dd>Gamma hyperparameter. If g=0 or NULL, `Laplace()` returns the Manhattan distance
(L1 norm between two vectors). (Defaults=NULL)</dd>

</dl>

Laplace: Laplacian kernel

Description

Usage

Value

Arguments

Details

Examples