I have a points dataset. I want to identify the cluster area first, and then, find the center of this cluster area.
I was thinking to use "K-Means", but I'm working on a single cluster, so I believe this method is not fitting with my case.
Now, I'm thinking to use either "Mean Center" or "Median Center" tool after identifying the cluster area by using the "Optimized Hot Spot Analysis". However, I'm confused between the mean and median. I'm dealing with only locations without any required weights, which means that I just want to find the center location of the points.
Which one of the two methods is the most proper and accurate for my case? And why?
* I read a lot about them, but I couldn't find the answer for my case.
* In the attachment, you can see the dataset and the cluster area marked by the red circle.
Thank you in advance