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dbscan clustering of xy points only returns outliers

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AbioEngineer
AbioEngineer 2021-8-20
编辑： the cyclist 2021-8-20
I have an array of xy points and just want a way to determine the number of clusters. I have many sets of xy points, and all of them are approximately the same in terms of values, so I would think epsilon doesn't need to change too much.
I have tried
idx=dbscan(centers,1,3);
like they did in the example, but it only returns a vector of -1, which corresponds to outliers. I thought decreasing the epsilon would give more clusters. Using kmeans with 2 clusters gives me the below result, but I would like to separate them even more. I can see both the red and the blue clusters could each have two more. Do I just not have enough points?

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the cyclist
the cyclist 2021-8-20
编辑：the cyclist 2021-8-20
Ran in:
You actually need to increase epsilon, because you need a larger search radius to identify neighborhood points.
load centers
idx = dbscan(centers,50,3);
gscatter(centers(:,1),centers(:,2),idx)

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