Description: This package includes the MATLAB code of a nearest neighbor ensemble approach (SENNE) which aims to deal with both low and high \alpha-SENC problems [1].
References:
[1] Xin-Qiang Cai, Peng Zhao, Kai Ming Ting, Xin Mu, Yuan Jiang. Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. In: Proceedings of the 19th IEEE International Conference on Data Mining (ICDM'19), Beijing, China, 2019. To appear.
Requirements: The package was developed with MATLAB 2017a.
ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou.
ATTN2: This package is developed by Mr. Cai (caixq@lamda.nju.edu.cn). The readme file and demo roughly explains how to use the codes. For any problem concerning the codes, please feel free to contact Mr. Cai.
Download:
code (3.44MB)