Weighted kNN and constrained elastic distances for time-series classification

作者：

Highlights：

• The weighted k-nearest neighbor rule outperforms the 1-nearest neighbor classifier.

• Recommendations for choosing weighting schemes.

• Recommendations for choosing the constraint width r and the neighborhood size k.

摘要

•The weighted k-nearest neighbor rule outperforms the 1-nearest neighbor classifier.•Recommendations for choosing weighting schemes.•Recommendations for choosing the constraint width r and the neighborhood size k.

论文关键词：Time series,Classification,1-Nearest neighbor,k-Nearest neighbor,Weighted k-nearest neighbor,Elastic distance measures

论文评审过程：Received 22 November 2019, Revised 30 July 2020, Accepted 31 July 2020, Available online 13 August 2020, Version of Record 10 October 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113829