Adaptive safety-aware semi-supervised clustering

作者：

Highlights：

• A S3C method is developed to adaptively estimate the safety degrees.

• Three terms are constructed to safely explore the mislabeled instances.

• An effective strategy is used to solve the optimization problem.

• Our algorithm yields the best performance compared to the other S3C methods.

摘要

•A S3C method is developed to adaptively estimate the safety degrees.•Three terms are constructed to safely explore the mislabeled instances.•An effective strategy is used to solve the optimization problem.•Our algorithm yields the best performance compared to the other S3C methods.

论文关键词：Safe semi-supervised clustering,Safety degree,Fuzzy c-means

论文评审过程：Received 9 May 2020, Revised 24 August 2022, Accepted 31 August 2022, Available online 5 September 2022, Version of Record 15 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118751