Clustering and Distribution Analysis
Alastair Aitchison · Apress eBooks · 2012
When dealing with large sets of spatial data (as with other sorts of data) we frequently don’t want to consider each individual item at its most granular level. A dataset containing the details of hundreds of thousands of individual points is not particularly useful for business intelligence or analysis purposes, for example. Instead, what is generally required is a way of understanding trends in that data, by identifying patterns in the geographic spread and distribution of the underlying items. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.