Multi-objective Semi-supervised clustering for finding predictive clusters

作者：

Highlights：

• Finding dense clusters which are informative toward the outcome variable.

• Finding optimal solutions using evolutionary algorithms.

• Comparison of singe-objective and multi-objective optimization methods.

摘要

•Finding dense clusters which are informative toward the outcome variable.•Finding optimal solutions using evolutionary algorithms.•Comparison of singe-objective and multi-objective optimization methods.

论文关键词：Semi-supervised clustering,Multi-objective optimization,Healthcare,Evolutionary computation

论文评审过程：Received 7 March 2021, Revised 21 December 2021, Accepted 14 January 2022, Available online 24 January 2022, Version of Record 1 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116551