References

Algeri, Carmelo, Luc Anselin, Antonio Fabio Forgione, and Carlo Migliardo. 2022. “Spatial Dependence in the Technical Efficiency of Local Banks.” Papers in Regional Science 101: 385–416.
Amaral, Pedro, Lucas Carvalho, Thiago Rocha, Nubia Silva, and Joao Vissoci. 2019. “Geospatial Modeling of Microcephaly and Zika Virus Spread Patterns in Brazil.” PLoS ONE 14.
Anselin, Luc. 2024a. An Introduction to Spatial Data Science with GeoDa - Volume 1, Exploring Spatial Data. Boca Raton, FL: CRC/Chapman & Hall.
———. 2024b. An Introduction to Spatial Data Science with GeoDa - Volume 2, Clustering Spatial Data. Boca Raton, FL: CRC/Chapman & Hall.
Anselin, Luc, and Xun Li. 2020. “Tobler’s Law in a Multivariate World.” Geographical Analysis 52: 494–510.
Assunçao, Renato M., M. C. Neves, G. Câmara, and C. Da Costa Freitas. 2006. “Efficient Regionalization Techniques for Socio-Economic Geographical Units Using Minimum Spanning Trees.” International Journal of Geographical Information Science 20: 797–811.
Campello, Ricardo J. G. B., Davoud Moulavi, and Jörg Sander. 2013. “Density-Based Clustering Based on Hierarchical Density Estimates.” In Advances in Knowledge Discovery and Data Mining. PAKDD 2013. Lecture Notes in Computer Science, Vol. 7819, edited by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, and Guandong Xu, 160–72.
Campello, Ricardo J. G. B., Davoud Moulavi, Arthur Zimek, and Jörg Sandler. 2015. “Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection.” ACM Transactions on Knowledge Discovery from Data 10,1. https://doi.org/10.1145/2733381.
de Leeuw, Jan. 1977. “Applications of Convex Analysis to Multidimensional Scaling.” In Recent Developments in Statistics, edited by J. R. Barra, F. Brodeau, G. Romier, and B. van Cutsem, 133–45. Amsterdam: North Holland.
de Leeuw, Jan, and Patrick Mair. 2009. “Multidimensional Scaling Using Majorization: SMACOF in R.” Journal of Statistical Software 21.
Duque, Juan C., Luc Anselin, and Sergio J. Rey. 2012. “The Max-p-Regions Problem.” Journal of Regional Science 52: 397–419.
Ester, Martin, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu. 1996. “A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.” In KDD-96 Proceedings, 226–31.
Gan, Junhao, and Yufei Tao. 2017. “On the Hardness and Approximation of Euclidean DBSCAN.” ACM Transactions on Database Systems (TODS) 42: 14.
Guo, Diansheng. 2008. “Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (REDCAP).” International Journal of Geographical Information Science 22: 801–23.
Guo, Diansheng, and Hu Wang. 2011. “Automatic Region Building for Spatial Analysis.” Transactions in GIS 15: 29–45.
Hinton, Geoffrey E., and Sam T. Roweis. 2003. “Stochastic Neighbor Embedding.” In Advances in Neural Information Processing Systems 15 (NIPS 2002), edited by S. Becker, S. Thun, and K. Obermayer, 833–40. Vancouver, BC: NIPS.
Hubert, Lawrence J., and Phipps Arabie. 1985. “Comparing Partitions.” Journal of Classification 2: 193–218.
Kaufman, L., and P. Rousseeuw. 2005. Finding Groups in Data: An Introduction to Cluster Analysis. New York, NY: John Wiley.
Kolak, Marynia, Jay Bhatt, Yoon Hong Park, Norma A. Padrón, and Ayrin Molefe. 2020. “Quantification of Neighborhood-Level Social Determinants of Health in the Continental United States.” JAMA Network Open 3 (1): e1919928–28. https://doi.org/10.1001/jamanetworkopen.2019.19928.
McInnes, Leland, and John Healy. 2017. “Accelerated Hierarchical Density Clustering.” In 2017 IEEE International Conference on Data Mining Workshops (ICDMW). New Orleans, LA. https://doi.org/10.1109/ICDMW.2017.12.
Newman, Mark. 2018. Networks. Oxford, United Kingdom: Oxford University Press.
Openshaw, Stan. 1977. “A Geographical Solution to Scale and Aggregation Problems in Region-Building, Partitioning and Spatial Modeling.” Transactions of the Institute of British Geographers 2: 459–72.
Openshaw, Stan, and L. Rao. 1995. “Algorithms for Reengineering the 1991 Census Geography.” Environment and Planning A 27: 425–46.
Sander, Jörg, Martin Ester, Hans-Peter Kriegel, and Xiaowei Xu. 1998. “Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications.” Data Mining and Knowledge Discovery 2: 169–94.
Schubert, Erich, Jörg Sander, Martin Ester, Peter Kriegel, and Xiaowei Xu. 2017. DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN.” ACM Transactions on Database Systems (TODS) 42: 19.
van der Maaten, Laurens, and Geoffrey Hinton. 2008. “Visualizing Data Using t-SNE.” Journal of Machine Learning Research 9: 2579–2605.
Vinh, Nguyen Xuan, Julien Epps, and James Bailey. 2010. “Information Theoretic Measures for Clustering Comparison: Variants, Properties, Normalization and Correction for Chance.” Journal of Machine Learning Research 11: 2837–54.