DPFCM: A novel distributed picture fuzzy clustering method on picture fuzzy sets

作者：

Highlights：

• We focused on fuzzy clustering in distributed environments.

• A novel distributed picture fuzzy clustering method was presented.

• It combined the ideas of the facilitator model and picture fuzzy sets.

• It was experimentally validated on benchmark datasets of UCI Machine Learning.

• It has better clustering quality than other relevant algorithms.

摘要

•We focused on fuzzy clustering in distributed environments.•A novel distributed picture fuzzy clustering method was presented.•It combined the ideas of the facilitator model and picture fuzzy sets.•It was experimentally validated on benchmark datasets of UCI Machine Learning.•It has better clustering quality than other relevant algorithms.

论文关键词：Clustering quality,Distributed clustering,Facilitator model,Fuzzy clustering,Picture fuzzy sets

论文评审过程：Available online 26 July 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.07.026