Fuzzy c-means clustering algorithm for directional data (FCM4DD)

作者：

Highlights：

• A new approximation for clustering of directional data is proposed.

• The proposed method is simple, fast and stable when compared to other methods.

• The proposed method can be used for N-dimensional directional data.

• Tradition validation index methods can be used with proposed method.

摘要

•A new approximation for clustering of directional data is proposed.•The proposed method is simple, fast and stable when compared to other methods.•The proposed method can be used for N-dimensional directional data.•Tradition validation index methods can be used with proposed method.

论文关键词：Angular difference,Clustering algorithm,Directional data,Fuzzy c-means algorithm

论文评审过程：Received 10 February 2015, Revised 19 March 2016, Accepted 20 March 2016, Available online 1 April 2016, Version of Record 14 April 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.03.034