Impact of CM-processing on clustering accuracy on 27 LFR networks.

<p>The panels show accuracy measured in terms of NMI (top), AMI (middle) and ARI (bottom), with respect to the LFR ground-truth communities, restricted to the networks that did not have a large fraction of their clusters disconnected (27 of the original 34, see <a href="https://journal...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Minhyuk Park (10783684) (author)
مؤلفون آخرون:	Yasamin Tabatabaee (18095491) (author), Vikram Ramavarapu (20114009) (author), Baqiao Liu (17601734) (author), Vidya Kamath Pailodi (17814389) (author), Rajiv Ramachandran (18095494) (author), Dmitriy Korobskiy (7007378) (author), Fabio Ayres (372893) (author), George Chacko (5660062) (author), Tandy Warnow (177698) (author)
منشور في:	2024
الموضوعات:	Ecology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified leiden algorithm optimizing ikc )&# 8211 constant potts model world networks ranging synthetic networks show community detection methods networks contain nodes recovering true communities complex networks community structure tested cm study underscores specified criterion source tool scale structure scalable open node coverage mild requirement mcl ), markov cluster iterative k improves accuracy important aspect identify communities fail even detecting communities connectivity modifier connected according cm resulted cm ), approximately 35 000 nodes &# 8220
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Impact of CM-processing on clustering accuracy on 27 LFR networks.

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