A novel prediction method of complex univariate time series based on \(k\)-means clustering

DOI10.1007/s00500-020-04952-2zbMath1491.62135OpenAlexW3017901454MaRDI QIDQ2156610

Weikuan Jia, Shifei Ding, Yun-xin Liu

Publication date: 18 July 2022

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-020-04952-2

zbMATH Keywords

time series\(K\)-means clusteringattention mechanismgated recurrent unitchange trend prediction

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Cites Work

• Clustering of time series data -- a survey
• Time-series data mining
• Gaussian processes for time-series modelling
• Smaller coresets for k-median and k-means clustering
• Unnamed Item
• Unnamed Item