0

I have the following dataset. This dataset contains `ATM banking transactions`

in different places over 30 days. These ATMs are located in different cities and provinces. The problem that I need to solve is to develop a model that can be able to detect which ATMs are in the same city or in the same province. The only thing I know about this problem is that is related to **Spatial Data Mining** but I have no idea which techniques, algorithms, and tools I should use to solve this problem.

In this dataset `PS ID column`

corresponds to the `ATM IDs`

, `AMOUNT column`

corresponds to the `amount of money transferred`

.

My question is which techniques, algorithms, and tools I should use to solve this problem???

Should I use clustering or I should use other techniques?