A distance based time series classification framework

作者：

Highlights：

• A time series classification framework is proposed.

• Some alignment techniques are implemented in it.

• k-NN and SVM classification modules are available.

• 40 different datasets are classified by using the framework.

• The performance of the alignment techniques is compared.

摘要

Highlights•A time series classification framework is proposed.•Some alignment techniques are implemented in it.•k-NN and SVM classification modules are available.•40 different datasets are classified by using the framework.•The performance of the alignment techniques is compared.

论文关键词：Time warping,Alignment,Time series classification

论文评审过程：Received 16 September 2014, Revised 3 February 2015, Accepted 15 February 2015, Available online 23 February 2015.

论文官网地址：https://doi.org/10.1016/j.is.2015.02.005