Assessing the quality of multilevel graph clustering

DOI10.1007/s10618-013-0335-9zbMath1298.68226OpenAlexW1967302673WikidataQ114827256 ScholiaQ114827256MaRDI QIDQ468684

Guy Melançon, François Queyroi, Maylis Delest, Jean-Marc Fedou

Publication date: 7 November 2014

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-013-0335-9

zbMATH Keywords

hierarchical clusteringgraph clusteringgraph hierarchiesmultilevel modularity

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to social sciences (62P25) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Min-max communities in graphs: complexity and computational properties ⋮ Suppression distance computation for hierarchical clusterings

Uses Software

• Tulip

Cites Work

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• Unnamed Item
• Graph clustering
• Post-processing hierarchical community structures: quality improvements and multi-scale view
• Attribute grammars are useful for combinatorics
• Attribute grammars and automatic complexity analysis
• Network analysis of commuting flows: A comparative static approach to German data
• 10.1162/153244302760185234
• Community structure in social and biological networks

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