A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data

作者：

Highlights：

• A weighted multivariate fuzzy clustering method for interval-valued data is introduced.

• Weights measure importance of each variable to compute membership degree by cluster.

• This method is robust to ambiguous cluster membership assignment.

• An application with interval-valued scientific production data is described.

摘要

•A weighted multivariate fuzzy clustering method for interval-valued data is introduced.•Weights measure importance of each variable to compute membership degree by cluster.•This method is robust to ambiguous cluster membership assignment.•An application with interval-valued scientific production data is described.

论文关键词：Clustering,Fuzzy C-Means method,Symbolic Data Analysis,Weighted multivariate membership,Scientific production data

论文评审过程：Available online 20 November 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.11.013