Evaluating accuracy of community detection using the relative normalized
mutual information

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Evaluating accuracy of community detection using the relative normalized mutual information

15 January 2015

Pan Zhang

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

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Title
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 Anda Skeja S. Olhede GNN 118 2 0 23 May 2024
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 Nejat Arınık Vincent Labatut R. Figueiredo 39 14 0 01 Feb 2021
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 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 Alexander J. Gates Yong-Yeol Ahn 90 127 0 23 Jan 2017