Case-based reasoning classifier based on learning pseudo metric retrieval

作者：

Highlights：

• A learning pseudo metric case-based reasoning classification method is proposed.

• A new classifier is redesigned on the basis of the traditional CBR classifier.

• The algorithm of LPM-CBR has some anti-interference ability and good robustness.

• The LPM-based retrieval method can improve the quality and learning ability of CBR.

摘要

•A learning pseudo metric case-based reasoning classification method is proposed.•A new classifier is redesigned on the basis of the traditional CBR classifier.•The algorithm of LPM-CBR has some anti-interference ability and good robustness.•The LPM-based retrieval method can improve the quality and learning ability of CBR.

论文关键词：Case-based reasoning,Learning pseudo metric,Case retrieval,Case reuse,Classification

论文评审过程：Received 21 January 2017, Revised 4 July 2017, Accepted 14 July 2017, Available online 19 July 2017, Version of Record 27 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.022