Parsimonious time series clustering using P-splines

作者：

Highlights：

• A new parsimonious way to cluster time (data) series is provided.

• We deal with P-spline framework and non-hierarchical clustering.

• Simulation studies and two well-known real world case studies are performed.

摘要

•A new parsimonious way to cluster time (data) series is provided.•We deal with P-spline framework and non-hierarchical clustering.•Simulation studies and two well-known real world case studies are performed.

论文关键词：Clustering algorithms,P-splines,Time series

论文评审过程：Received 2 September 2015, Revised 20 November 2015, Accepted 5 January 2016, Available online 13 January 2016, Version of Record 29 January 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.004