ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1501.03844
  4. Cited By
Evaluating accuracy of community detection using the relative normalized
  mutual information
v1v2 (latest)

Evaluating accuracy of community detection using the relative normalized mutual information

15 January 2015
Pan Zhang
ArXiv (abs)PDFHTML

Papers citing "Evaluating accuracy of community detection using the relative normalized mutual information"

7 / 7 papers shown
Title
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Wei Chen
Guo Ye
Yakun Wang
Zhao Zhang
Libang Zhang
Daxin Wang
Qing Cui
Fuzhen Zhuang
233
2
0
17 Jan 2025
Quantifying Multivariate Graph Dependencies: Theory and Estimation for
  Multiplex Graphs
Quantifying Multivariate Graph Dependencies: Theory and Estimation for Multiplex Graphs
Anda Skeja
S. Olhede
GNN
118
2
0
23 May 2024
Normalized mutual information is a biased measure for classification and
  community detection
Normalized mutual information is a biased measure for classification and community detection
Max Jerdee
Alec Kirkley
M. E. Newman
78
10
0
03 Jul 2023
Characterizing and comparing external measures for the assessment of
  cluster analysis and community detection
Characterizing and comparing external measures for the assessment of cluster analysis and community detection
Nejat Arınık
Vincent Labatut
R. Figueiredo
39
14
0
01 Feb 2021
Improved mutual information measure for classification and community
  detection
Improved mutual information measure for classification and community detection
Mark E. J. Newman
George T. Cantwell
Jean-Gabriel Young
VLM
54
46
0
29 Jul 2019
Element-centric clustering comparison unifies overlaps and hierarchy
Element-centric clustering comparison unifies overlaps and hierarchy
Alexander J. Gates
Ian B. Wood
W. Hetrick
Yong-Yeol Ahn
75
90
0
19 Jun 2017
The Impact of Random Models on Clustering Similarity
The Impact of Random Models on Clustering Similarity
Alexander J. Gates
Yong-Yeol Ahn
90
127
0
23 Jan 2017
1