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Maximum Split Clustering Under Connectivity Constraints

Author

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  • Pierre Hansen
  • Brigitte Jaumard
  • Christophe Meyer
  • Bruno Simeone
  • Valeria Doring

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  • Pierre Hansen & Brigitte Jaumard & Christophe Meyer & Bruno Simeone & Valeria Doring, 2003. "Maximum Split Clustering Under Connectivity Constraints," Journal of Classification, Springer;The Classification Society, vol. 20(2), pages 143-180, September.
    • Handle: RePEc:spr:jclass:v:20:y:2003:i:2:p:143-180
    DOI: 10.1007/s00357-003-0011-7
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    Cited by:

    1. Andrea Spinosa, 2022. "Wider urban zones: use of topology and nighttime satellite images for delimiting urban areas," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(2), pages 141-159, August.
    2. Carlos Mendez & Erick Gonzales, 2021. "Human Capital Constraints, Spatial Dependence, and Regionalization in Bolivia: A Spatial Clustering Approach," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 44(87), pages 115-145.
    3. Douglas M. King & Sheldon H. Jacobson & Edward C. Sewell & Wendy K. Tam Cho, 2012. "Geo-Graphs: An Efficient Model for Enforcing Contiguity and Hole Constraints in Planar Graph Partitioning," Operations Research, INFORMS, vol. 60(5), pages 1213-1228, October.
    4. Ricca, Federica & Simeone, Bruno, 2008. "Local search algorithms for political districting," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1409-1426, September.
    5. Rui Fragoso & Conceição Rego & Vladimir Bushenkov, 2016. "Clustering of Territorial Areas: A Multi-Criteria Districting Problem," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 179-198, December.
    6. Maria da Conceição Rego & Rui Fragoso & Vladimir Bushenkov, 2014. "Clustering of Territorial Areas: A Multi-Criteria Districting Problem," ERSA conference papers ersa14p218, European Regional Science Association.
    7. Dongyoung Kim & Sungwon Jung & Yongwook Jeong, 2021. "Theft Prediction Model Based on Spatial Clustering to Reflect Spatial Characteristics of Adjacent Lands," Sustainability, MDPI, vol. 13(14), pages 1-14, July.

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