A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer

作者：

Highlights：

• A novel classification model based on fuzzy-rough nearest neighbor method.

• Fuzzy-rough instance selection.

• Consistency-based subset evaluation combined with re-ranking algorithm.

• The automated diagnosis of breast cancer with a classification accuracy of 99.71%.

摘要

•A novel classification model based on fuzzy-rough nearest neighbor method.•Fuzzy-rough instance selection.•Consistency-based subset evaluation combined with re-ranking algorithm.•The automated diagnosis of breast cancer with a classification accuracy of 99.71%.

论文关键词：Fuzzy-rough set,Nearest neighbor classifier,Consistency-based subset evaluation,Breast cancer,Instance selection

论文评审过程：Available online 11 May 2015, Version of Record 30 May 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.05.006