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A survey of constrained classification

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  • Gordon, A. D.

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  • Gordon, A. D., 1996. "A survey of constrained classification," Computational Statistics & Data Analysis, Elsevier, vol. 21(1), pages 17-29, January.
    • Handle: RePEc:eee:csdana:v:21:y:1996:i:1:p:17-29
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    1. Geert Soete & J. Carroll & Wayne DeSarbo, 1987. "Least squares algorithms for constructing constrained ultrametric and additive tree representations of symmetric proximity data," Journal of Classification, Springer;The Classification Society, vol. 4(2), pages 155-173, September.
    2. J. Carroll & Phipps Arabie, 1983. "Indclus: An individual differences generalization of the adclus model and the mapclus algorithm," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 157-169, June.
    3. Anuška Ferligoj & Vladimir Batagelj, 1982. "Clustering with relational constraint," Psychometrika, Springer;The Psychometric Society, vol. 47(4), pages 413-426, December.
    4. A. Gordon, 1987. "Parsimonious trees," Journal of Classification, Springer;The Classification Society, vol. 4(1), pages 85-101, March.
    5. A. T. Walden, 1994. "Spatial Clustering: Using Simple Summaries of Seismic Data to Find the Edge of an Oil‐Field," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(2), pages 385-398, June.
    6. J. Carroll & Linda Clark & Wayne DeSarbo, 1984. "The representation of three-way proximity data by single and multiple tree structure models," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 25-74, December.
    7. Wayne DeSarbo & Vijay Mahajan, 1984. "Constrained classification: The use of a priori information in cluster analysis," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 187-215, June.
    8. N. Sriram, 1990. "Clique optimization: A method to construct parsimonious ultrametric trees from similarity data," Journal of Classification, Springer;The Classification Society, vol. 7(1), pages 33-52, March.
    9. Anuška Ferligoj & Vladimir Batagelj, 1983. "Some types of clustering with relational constraints," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 541-552, December.
    10. P. A. Golder & K. A. Yeomans, 1973. "The Use of Cluster Analysis for Stratification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 22(2), pages 213-219, June.
    11. C R Margules & D P Faith & L Belbin, 1985. "An Adjacency Constraint in Agglomerative Hierarchical Classifications of Geographic Data," Environment and Planning A, , vol. 17(3), pages 397-412, March.
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    Cited by:

    1. Marie Chavent & Vanessa Kuentz-Simonet & Amaury Labenne & Jérôme Saracco, 2018. "ClustGeo: an R package for hierarchical clustering with spatial constraints," Computational Statistics, Springer, vol. 33(4), pages 1799-1822, December.
    2. Juan Carlos Duque & Raúl Ramos & Jordi Suriñach, 2007. "Supervised Regionalization Methods: A Survey," International Regional Science Review, , vol. 30(3), pages 195-220, July.
    3. Yongcui Lan & Jinliang Wang & Wenying Hu & Eldar Kurbanov & Janine Cole & Jinming Sha & Yuanmei Jiao & Jingchun Zhou, 2023. "Spatial pattern prediction of forest wildfire susceptibility in Central Yunnan Province, China based on multivariate data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 565-586, March.
    4. 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.
    5. D’Urso, Pierpaolo & Manca, Germana & Waters, Nigel & Girone, Stefania, 2019. "Visualizing regional clusters of Sardinia's EU supported agriculture: A Spatial Fuzzy Partitioning Around Medoids," Land Use Policy, Elsevier, vol. 83(C), pages 571-580.
    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. G. Damiana Costanzo, 2001. "A constrainedk-means clustering algorithm for classifying spatial units," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 10(1), pages 237-256, January.
    8. Juan Carlos Duque & Raul Ramos Lobo & Jordi Surinach Caralt, 2004. "Design of Homogeneous Territorial Units: A Methodological Proposal," Working Papers in Economics 115, Universitat de Barcelona. Espai de Recerca en Economia.
    9. Vidoli, Francesco & Pignataro, Giacomo & Benedetti, Roberto, 2022. "Identification of spatial regimes of the production function of Italian hospitals through spatially constrained cluster-wise regression," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    10. repec:jss:jstsof:33:c02 is not listed on IDEAS
    11. Antoine, V. & Quost, B. & Masson, M.-H. & Denœux, T., 2012. "CECM: Constrained evidential C-means algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 894-914.
    12. Juan Duque & Manuel Artís & Raúl Ramos, 2006. "The ecological fallacy in a time series context: evidence from Spanish regional unemployment rates," Journal of Geographical Systems, Springer, vol. 8(4), pages 391-410, October.
    13. Juan C. Duque & Xinyue Ye & David C. Folch, 2015. "spMorph: An exploratory space-time analysis tool for describing processes of spatial redistribution," Papers in Regional Science, Wiley Blackwell, vol. 94(3), pages 629-651, August.
    14. Guidi, Lionel & Ibanez, Frédéric & Calcagno, Vincent & Beaugrand, Grégory, 2009. "A new procedure to optimize the selection of groups in a classification tree: Applications for ecological data," Ecological Modelling, Elsevier, vol. 220(4), pages 451-461.
    15. Juan Carlos Duque & Raul Ramos Lobo & Manuel Artis Ortuno, 2004. "Spanish unemployment: Normative versus analytical regionalisation procedures," Working Papers in Economics 118, Universitat de Barcelona. Espai de Recerca en Economia.
    16. Recchia, Anthony, 2010. "Contiguity-Constrained Hierarchical Agglomerative Clustering Using SAS," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(c02).
    17. Nathanaël Randriamihamison & Nathalie Vialaneix & Pierre Neuvial, 2021. "Applicability and Interpretability of Ward’s Hierarchical Agglomerative Clustering With or Without Contiguity Constraints," Journal of Classification, Springer;The Classification Society, vol. 38(2), pages 363-389, July.
    18. Wayne S. DeSarbo & Qian Chen & Ashley Stadler Blank, 2017. "A Parametric Constrained Segmentation Methodology for Application in Sport Marketing," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 4(4), pages 37-55, December.

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