A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation

作者：

Highlights：

• A unified form (UF) to treat Fuzzy C-means and K-means algorithms is proposed.

• UF algorithm reduces the effort required for the software implementation.

• UF algorithm runs as a distributed algorithm.

• UF algorithm is implemented and validated using BigTim distributed platform.

• The results are analyzed and compared using several performance indices.

摘要

•A unified form (UF) to treat Fuzzy C-means and K-means algorithms is proposed.•UF algorithm reduces the effort required for the software implementation.•UF algorithm runs as a distributed algorithm.•UF algorithm is implemented and validated using BigTim distributed platform.•The results are analyzed and compared using several performance indices.

论文关键词：Distributed platforms,Fuzzy C-means algorithm,K-means algorithm,Partitional Implementation,Unified form of Fuzzy C-Means algorithms and K-Means algorithms

论文评审过程：Received 4 May 2020, Revised 29 December 2020, Accepted 29 December 2020, Available online 4 January 2021, Version of Record 9 January 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106731