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Journal of Statistical Software February 2010, Volume 33, Code Snippet 2.http://www.jstatsoft.org/ContiguityConstrained Hierarchical Agglomeration Clustering Using SAS Anthony Reach University of
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Contiguity-constrained hierarchical agglomerative is a method used in clustering analysis that groups data points into a hierarchical structure while ensuring that neighboring points are placed into the same cluster.
Researchers and analysts working with spatial data may be required to use contiguity-constrained hierarchical agglomerative in their analysis.
To fill out contiguity-constrained hierarchical agglomerative, one must first define the clustering criteria, apply the method to the data, and interpret the results.
The purpose of contiguity-constrained hierarchical agglomerative is to identify spatial patterns and relationships in data by grouping nearby points into clusters.
The report for contiguity-constrained hierarchical agglomerative should include the clustering criteria used, the resulting clusters, and any relevant interpretations of the spatial patterns.
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