The kNN algorithm is interpretable and visual, making it possible for humans to design the labels; neural networks are complicated and impenetrable, meaning the same may not be true.

It’s the 21st century, and according to a lot of sci-fi movies we should have perfected AI by now, right? Well we are getting there, and this project from a group of Cornell University studen… ...

Daily flow data for the Usk River in Wales was simulated using a nonparametric bootstrap procedure that captures autocorrelation called k-nearest neighbor (k-NN) (Lall and Sharma, 1996). The objective ...

Previous work uses Time-Parameterized kNN (TPkNN) queries to construct the safe region. In this paper, the authors present an efficient technique to construct safe regions by using much cheaper ...