gen_gaussian

This function generates a dataset representing a structure with a Gaussian.

A collection of functions to generate a large variety of
structures in high dimensions. These data structures are useful for
testing, validating, and improving algorithms used in dimensionality
reduction, clustering, machine learning, and visualization.

Jayani P. G. Lakshika

cardinalR

Collection of Data Structures

Jayani P. Gamage

Dianne Cook

Paul Harrison

Michael Lydeamore

Thiyanga S. Talagala

gen_gaussian function

<dl><dt>n</dt>
<dd>An integer value (default: 500) representing the sample size.</dd>
<dt>p</dt>
<dd>An integer value (default: 4) representing the number of dimensions.</dd>
<dt>m</dt>
<dd>A numeric vector (default: c(0, 0, 0, 0)) representing the mean along each dimensions.</dd>
<dt>s</dt>
<dd>A numeric matrix (default: diag(4) * 0.01) representing the variance of along each dimension.</dd></dl>

Arguments

Generate Multivariate Gaussian Cloud — gen_gaussian

<dl>

<dt>n</dt>
<dd>An integer value (default: 500) representing the sample size.</dd>


<dt>p</dt>
<dd>An integer value (default: 4) representing the number of dimensions.</dd>


<dt>m</dt>
<dd>A numeric vector (default: c(0, 0, 0, 0)) representing the mean along each dimensions.</dd>


<dt>s</dt>
<dd>A numeric matrix (default: diag(4) * 0.01) representing the variance of along each dimension.</dd>

</dl>

gen_gaussian: Generate Multivariate Gaussian Cloud

Description

Usage

Value

Arguments

Examples