How to cluster/identify points away from a regression line For many vine plots, I have NDVI and Leaf Area values for each vine.
I already know that NDVI and LA has a strong positive correlation as you can see in this picture.


But as you can see too, there are some points away from this pool of points.
How can I cluster or identify these points?
I'm using Python with sklearn, scipy and other libs like them.
As already mentioned in a comment, there are some methods to detect outliers. The best known might be Cook‘s distance in (or after) regression. In essence you look for observations with a high residual.

Here is a short R tutorial. Here is a short Python approach.