I am quite new to clustering methods and would like to do spatial clustering on GDP per capita in the UK.
I tried using
dbscan() but what I obtained was one big cluster that contains more than 80% of the data points and the rest of my clusters that have very few data points. I believe this is because
dbscan() clusters based on density, so it cannot differentiate among my data points which have a large variance spread out across the UK map. (data
summary() provided below)
United_Kingdom__GDP_per_capita Min. : 0 1st Qu.: 23894 Median : 45884 Mean : 206663 3rd Qu.: 150746 Max. :23526994
Does anyone have any advice on methods for clustering spatial data with huge variance?