Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data

no code implementations • 14 Dec 2017 • Mark Kibanov, Martin Becker, Juergen Mueller, Martin Atzmueller, Andreas Hotho, Gerd Stumme

This paper proposes an adaptive kNN classifier where k is chosen dynamically for each instance (point) to be classified, such that the expected accuracy of classification is maximized.

Classification General Classification