Clustering-based multiple instance learning with multi-view feature

作者：

Highlights：

• Clustering is used to find groups of similar instances.

• Multi-view feature can further benefit the instance selection process.

• Results show the effectiveness and efficiency of the proposed model.

摘要

•Clustering is used to find groups of similar instances.•Multi-view feature can further benefit the instance selection process.•Results show the effectiveness and efficiency of the proposed model.

论文关键词：Multi-instance learning,Classification,Multi-view feature

论文评审过程：Received 20 February 2019, Revised 4 August 2019, Accepted 14 October 2019, Available online 14 October 2019, Version of Record 10 October 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113027