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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?