Difference between NearestNeighbours and KNearestNeighbour
They're the same thing. If I want to refer to it as an abbreviation I use KNN. If I want to say it, I just say nearest neighbor.
KNN is used in supervised machine learning, like classification. Using the common Iris example, I would show you a flower, and you would say "This is an Iris" or "This is not an Iris". We repeat that to build a model, then throw a whole bunch at the model, and we get our results.
Is there any different between Nearest Neighbor and KNN or both of them are refereing to the same algorithm?
If both of them are in a different type. what is the different use cases to use n_neighbor to find a correlation using nearest neighbor .