plot_moc_results

Implementation of the bootstrapping approach for the estimation of clustering stability and its application in estimating the number of clusters, as introduced by Yu et al (2016)<doi:10.1142/9789814749411_0007>. Implementation of the non-parametric bootstrap approach to assessing the stability of module detection in a graph, the extension for the selection of a parameter set that defines a graph from data in a way that optimizes stability and the corresponding visualization functions, as introduced by Tian et al (2021) <doi:10.1002/sam.11495>. Implemented out-of-bag stability estimation function and k-select Smin-based k-selection function as introduced by Liu et al (2022) <doi:10.1002/sam.11593>. Implemented ensemble clustering method based-on k-means clustering method, spectral clustering method and hierarchical clustering method.

Tianmou Liu

bootcluster

Bootstrapping Estimates of Clustering Stability

Han Yu

Mingmei Tian

plot_moc_results function

<dl><dt>results</dt>
<dd>Results from analyze_moc_datasets</dd>
<dt>dataset_names</dt>
<dd>Name or vector of names of datasets to plot</dd>
<dt>methods</dt>
<dd>Methods to plot (default: c("fastgreedy", "metis", "hmetis"))</dd>
<dt>plot_file</dt>
<dd>Output file for plots (default: NULL)</dd>
<dt>max_plots_per_page</dt>
<dd>Maximum number of plots per page (default: 12)</dd>
<dt>mar</dt>
<dd>Margins for plots (default: c(2, 2, 2, 1))</dd></dl>

Arguments

Plot MOC Results — plot_moc_results

<dl>

<dt>results</dt>
<dd>Results from analyze_moc_datasets</dd>


<dt>dataset_names</dt>
<dd>Name or vector of names of datasets to plot</dd>


<dt>methods</dt>
<dd>Methods to plot (default: c("fastgreedy", "metis", "hmetis"))</dd>


<dt>plot_file</dt>
<dd>Output file for plots (default: NULL)</dd>


<dt>max_plots_per_page</dt>
<dd>Maximum number of plots per page (default: 12)</dd>


<dt>mar</dt>
<dd>Margins for plots (default: c(2, 2, 2, 1))</dd>

</dl>

plot_moc_results: Plot MOC Results

Description

Usage

Arguments