Trendlets: A novel probabilistic representational structures for clustering the time series data

作者：

Highlights：

• Timeseries representational method that presents the collective trend of the data.

• A user defined segmentation method of time-series data.

• Probabilistic approach of forming representational building blocks for timeseries.

• Unsupervised trend based hierarchical clustering of timeseries data.

摘要

•Timeseries representational method that presents the collective trend of the data.•A user defined segmentation method of time-series data.•Probabilistic approach of forming representational building blocks for timeseries.•Unsupervised trend based hierarchical clustering of timeseries data.

论文关键词：Time series,Clustering,Pattern matching,Trend,Seasonality

论文评审过程：Received 1 September 2019, Revised 8 November 2019, Accepted 2 December 2019, Available online 11 December 2019, Version of Record 14 December 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113119