Reachable Distance Function for KNN Classification. (arXiv:2103.09704v2 [cs.LG] CROSS LISTED)

Distance function is a main metrics of measuring the affinity between two
data points in machine learning. Extant distance functions often provide
unreachable distance values in real applications. This can lead to incorrect
measure of the affinity between data points. This paper proposes a reachable
distance function for KNN classification. The reachable distance function is
not a geometric direct-line distance between two data points. It gives a
consideration to the class attribute of a training dataset when measuring the
affinity …

arxiv classification function knn lg