Optimal Extended Neighbourhood Rule $k$ Nearest Neighbours Ensemble

arXiv:2211.11278v2 Announce Type: replace-cross
Abstract: The traditional k nearest neighbor (kNN) approach uses a distance formula within a spherical region to determine the k closest training observations to a test sample point. However, this approach may not work well when test point is located outside this region. Moreover, aggregating many base kNN learners can result in poor ensemble performance due to high classification errors. To address these issues, a new optimal extended neighborhood rule based ensemble method is proposed in …

abstract arxiv cs.lg ensemble knn sample stat.ml test training type work