Weighted clustering ensemble: A review

作者：

Highlights：

• Compile and analyze the state-of-the-art in weighted clustering ensemble research.

• Provide a unifying framework for weighted clustering ensemble.

• Identify pros and cons of existing methods, and give suggestions on future research.

摘要

•Compile and analyze the state-of-the-art in weighted clustering ensemble research.•Provide a unifying framework for weighted clustering ensemble.•Identify pros and cons of existing methods, and give suggestions on future research.

论文关键词：Ensemble selection,Fuzzy clustering,Labeling correspondence,Multi-view data,Temporal data

论文评审过程：Received 30 March 2018, Revised 5 November 2021, Accepted 8 November 2021, Available online 10 November 2021, Version of Record 28 February 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108428