Outlier detection: How to Select k for k-nearest-neighbors-based outlier detectors

Jiawei Yang, Xu Tan, Sylwan Rahardja

Abstract: Highlights•Neighborhood consistency (NC) that an object and its k-NN should have consistent outlier scores is introduced.•Based on NC, we proposed a framework called KFC for automatically selecting k for k-NN-based outlier detectors.•We reviewed the optimum-k-searching methods published between 2000 and 2022.