… Note that the clusters obtained by spatial hierarchical clustering with Ward’s method have
… for micro-regions (558 clusters), meso-regions (137 Clusters) and states (27 clusters). In the …

… We survey agglomerative hierarchical clustering algorithms and … We look at hierarchical
self-organizing maps, and mixture … how spatial display has been used for hierarchical clustering. …

… partial flow lines that are close in space, both of which cause a … a flow clustering method
that extracts clusters of similar flows … extends the traditional hierarchical clustering method to …

… In this paper, we propose a Ward-like hierarchical clustering algorithm including spatial/…
the “feature space” and the second matrix gives the dissimilarities in the “constraint space”. The …

… We survey agglomerative hierarchical clustering algorithms and … We look at hierarchical
self-organizing maps and mixture … how spatial display has been used for hierarchical clustering. …

… This paper proposed an extension to the traditional hierarchical clustering method to
incorporate space, time and attribute information. The space–time hierarchical clustering …

… hierarchical cluster analysis for crime hot spot detection. We detail alternative non-hierarchical
approaches for spatial clustering … and neighborhood characteristics (ie, spatial lag) as a …

… to find spatially … spatial information into the clustering analysis have been considered.
Here, we extend these methods to the functional context to fulfil the task of clustering spatially …

… resulting clusters into meaningful geographical subregions. In this paper, we develop an
agglomerative hierarchical clustering approach that takes into account the spatial dependency …

… from that of hierarchical cluster analysis. Hierarchical cluster analysis methodology follows
the hypothesis that lower-order moments (eg, variance) show spatial variation over a larger …