Towards interval-valued fuzzy set-based collaborative fuzzy clustering algorithms

作者：

Highlights：

• Propose the interval valued based fuzzy collaborative clustering.

• Propose the interval valued based fuzzy collaborative clustering with the different number of clusters.

• Extend the validity index for fuzzy collaborative clustering with interval valued sets.

• Experiments on various datasets and satellite image segmentation.

摘要

•Propose the interval valued based fuzzy collaborative clustering.•Propose the interval valued based fuzzy collaborative clustering with the different number of clusters.•Extend the validity index for fuzzy collaborative clustering with interval valued sets.•Experiments on various datasets and satellite image segmentation.

论文关键词：Fuzzy C-Means (FCM),Collaborative fuzzy clustering,Interval - valued fuzzy clustering,Interval type-2 fuzzy sets,Clustering validity index

论文评审过程：Received 23 March 2017, Revised 26 March 2018, Accepted 4 April 2018, Available online 12 April 2018, Version of Record 21 April 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.04.006