compute_mutual_info

Compute the NMI between two label vectors with the same cluster number

Evaluation

Features tools for the network data analysis and community detection.
Provides multiple methods for fitting, model selection and goodness-of-fit testing in degree-corrected stochastic blocks models.
Most of the computations are fast and scalable for sparse networks, esp. for Poisson versions of the models.
Implements the following:
Amini, Chen, Bickel and Levina (2013) <doi:10.1214/13-AOS1138>
Bickel and Sarkar (2015) <doi:10.1111/rssb.12117>
Lei (2016) <doi:10.1214/15-AOS1370>
Wang and Bickel (2017) <doi:10.1214/16-AOS1457>
Zhang and Amini (2020) <arXiv:2012.15047>
Le and Levina (2022) <doi:10.1214/21-EJS1971>.

Arash A. Amini

nett

Network Analysis and Community Detection

Linfan Zhang

compute_mutual_info function

<dl><dt>z</dt>
<dd>a label vector</dd>
<dt>y</dt>
<dd>a label vector</dd></dl>

Arguments

Compute normalized mutual information (NMI) — compute_mutual_info

<dl>

<dt>z</dt>
<dd>a label vector</dd>


<dt>y</dt>
<dd>a label vector</dd>

</dl>

compute_mutual_info: Compute normalized mutual information (NMI)

Description

Usage

Value

Arguments