Clustering cities based on their development dynamics and variable neigborhood search

DOI10.1016/j.endm.2014.11.028zbMath1362.91033OpenAlexW2075444842MaRDI QIDQ2631267

O. V. Rusetskay, B. S. Zhikharevich, Nenad Mladenović

Publication date: 29 July 2016

Full work available at URL: https://doi.org/10.1016/j.endm.2014.11.028

zbMATH Keywords

rankingclusteringvariable neighborhood search\(k\)-meanssocio-economic

Mathematics Subject Classification ID

Clustering in the social and behavioral sciences (91C20) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (max. 100)

Grouping cities based of their socio-economic indicators

Uses Software

• J-MEANS

Cites Work

• Variable neighborhood search for harmonic means clustering
• Variable neighbourhood search: methods and applications
• NP-hardness of Euclidean sum-of-squares clustering
• J-MEANS: A new local search heuristic for minimum sum of squares clustering

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