A flexible ILP formulation for hierarchical clustering

DOI10.1016/j.artint.2015.05.009zbMath1404.68142OpenAlexW658725875MaRDI QIDQ511770

Sean Gilpin, Ian Davidson

Publication date: 22 February 2017

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2015.05.009

zbMATH Keywords

hierarchical clusteringinteger linear programmingconstraints

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Integer programming (90C10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Cites Work

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• Social Network Data Analytics
• Cluster Analysis
• Maximizing Submodular Set Functions: Formulations and Analysis of Algorithms
• A “Natural” Agglomerative Clustering Method for Biology
• Printer graphics for clustering

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