Gravitational fixed radius nearest neighbor for imbalanced problem

作者：

Highlights：

• We use the gravitational scenario into the fixed radius nearest neighbor rule.

• The proposed GFRNN deals with imbalanced classification problem.

• GFRNN does not need any manual parameter setting or coordination.

• Comparison experiments on 40 datasets validate its effectiveness and efficiency.

摘要

•We use the gravitational scenario into the fixed radius nearest neighbor rule.•The proposed GFRNN deals with imbalanced classification problem.•GFRNN does not need any manual parameter setting or coordination.•Comparison experiments on 40 datasets validate its effectiveness and efficiency.

论文关键词：Fixed radius search,Nearest neighbor rule,Imbalanced data,Pattern classification

论文评审过程：Received 18 March 2015, Revised 20 August 2015, Accepted 14 September 2015, Available online 3 October 2015, Version of Record 8 November 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.09.015