generate_gaussian_data

Generate a set of data points from Gaussian distribution

Clustering, or cluster analysis, is a widely used technique in bioinformatics to identify groups of similar biological data points. Consensus clustering is an extension to clustering algorithms that aims to construct a robust result from those clustering features that are invariant under different sources of variation. For the reference, please cite the following paper: Yousefi, Melograna, et. al., (2023) <doi:10.3389/fmicb.2023.1170391>.

Behnam Yousefi

ConsensusClustering

Consensus Clustering

generate_gaussian_data function

<dl><dt>n</dt>
<dd>number of generated data points</dd>
<dt>center</dt>
<dd>data center of desired dimension</dd>
<dt>sigma</dt>
<dd>covariance matrix</dd>
<dt>label</dt>
<dd>cluster label</dd></dl>

Arguments

Generate a set of data points from Gaussian distribution — generate_gaussian_data

<dl>

<dt>n</dt>
<dd>number of generated data points</dd>


<dt>center</dt>
<dd>data center of desired dimension</dd>


<dt>sigma</dt>
<dd>covariance matrix</dd>


<dt>label</dt>
<dd>cluster label</dd>

</dl>

generate_gaussian_data: Generate a set of data points from Gaussian distribution

Description

Usage

Value

Arguments

Examples