Non-numerical nearest neighbor classifiers with value-object hierarchical embedding

作者：

Highlights：

• A value-object hierarchical distance measure for categorical data.

• Two nearest neighbor classifiers applied for categorical data classification.

• Better results of the new classifiers compared with state-of-the-art classifiers.

• Detailed analysis of the impact of factors on the new classifiers.

摘要

•A value-object hierarchical distance measure for categorical data.•Two nearest neighbor classifiers applied for categorical data classification.•Better results of the new classifiers compared with state-of-the-art classifiers.•Detailed analysis of the impact of factors on the new classifiers.

论文关键词：Non-numerical classification,Categorical data,Nearest neighbor classifier,Data complexity,Attribute reduction

论文评审过程：Received 3 September 2018, Revised 13 January 2020, Accepted 13 January 2020, Available online 15 January 2020, Version of Record 15 February 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113206