Proximity Matrix Reorganization and Hierarchical Clustering

L J Hubert, R G Golledge and G D Richardson
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L J Hubert: Department of Education, University of California at Santa Barbara, Santa Barbara, CA 93106, USA

Environment and Planning A, 1982, vol. 14, issue 2, 195-203

Abstract: Connections between hierarchical clustering and the sedation of objects along a continuum that depend on the patterning of entries in a proximity matrix are pointed out. Based on the similarity between the central notion of an ultrametric in hierarchical clustering and what is called an anti-Robinson property in sedation, it is suggested that the two data-analysis procedures are compatible. Indeed, preliminary seriation of a proximity matrix may help verify the adequacy of the results obtained from a hierarchical clustering or suggest alternatives that may be better. A numerical example using data from the area of criminal justice completes the paper.

Date: 1982
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:14:y:1982:i:2:p:195-203

DOI: 10.1068/a140195

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