log_omega_estimation

Where omega(a,b) is the number of contingency tables with a, b as row and column sums.
This approximation is only good for dense tables.

internal

Evaluates the stability and significance of clusters on 'igraph' graphs.
Supports weighted and unweighted graphs. Implements the cluster evaluation methods
defined by Arratia A, Renedo M (2021) <doi:10.7717/peerj-cs.600>. Also includes an
implementation of the Reduced Mutual Information introduced by Newman et al. (2020)
<doi:10.1103/PhysRevE.101.042304>.

Martc3<ad> Mirambell

clustAnalytics

Cluster Evaluation on Graphs

log_omega_estimation function

<dl><dt>c1, c2</dt>
<dd>membership vectors</dd>
<dt>base</dt>
<dd>base of the logarithm (e by default)</dd></dl>

Arguments

Approximation of log(omega(a,b)) — log_omega_estimation

<dl>

<dt>c1, c2</dt>
<dd>membership vectors</dd>


<dt>base</dt>
<dd>base of the logarithm (e by default)</dd>

</dl>

log_omega_estimation: Approximation of log(omega(a,b))

Description

Usage

Arguments