A new robust fuzzy clustering framework considering different data weights in different clusters

作者：

Highlights：

• A whole new data weighting method for fuzzy clustering is proposed.

• l2-Norm regularization terms of the data weights and the feature weights are introduced.

• Synthetic and benchmark datasets corroborate the effectiveness of the method.

摘要

•A whole new data weighting method for fuzzy clustering is proposed.•l2-Norm regularization terms of the data weights and the feature weights are introduced.•Synthetic and benchmark datasets corroborate the effectiveness of the method.

论文关键词：Fuzzy C-means clustering algorithm,Data weights,Feature weights,l2-Norm regularization

论文评审过程：Received 21 July 2021, Revised 11 May 2022, Accepted 31 May 2022, Available online 3 June 2022, Version of Record 16 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117728