Multiview unsupervised shapelet learning for multivariate time series clustering

N Zhang, S Sun - IEEE Transactions on Pattern Analysis and …, 2022 - ieeexplore.ieee.org
Multivariate time series clustering has become an important research topic in the time series
learning task, which aims to discover the correlation among multiple sequences and …

An ensemble solution for multivariate time series clustering

I Vázquez, JR Villar, J Sedano, S Simić, E de la Cal - Neurocomputing, 2021 - Elsevier
Abstract Technologies such as Big Data and IoT have shown the need for intelligent
unsupervised processing of Multivariate Time Series (MTS), MTS clustering among them …

MTSC-GE: A novel graph based method for multivariate time series clustering

Z Yang, C Tai, G Wu, Z Zhang… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Few clustering methods show good performance on multivariate time series (MTS) data.
Traditional methods rely too much on similarity measures and perform poorly on the MTS …

A proof of concept in multivariate time series clustering using recurrent neural networks and sp-lines

I Vázquez, JR Villar, J Sedano, S Simić… - Hybrid Artificial Intelligent …, 2019 - Springer
Abstract Big Data and the IoT explosion has made clustering multivariate Time Series (TS)
one of the most effervescent research fields. From Bio-informatics to Business and …

A comparison of multivariate time series clustering methods

I Vázquez, JR Villar, J Sedano, S Simić - 15th International Conference on …, 2021 - Springer
Abstract Big Data and the IoT explosion has made clustering Multivariate Time Series (MTS)
one of the most effervescent research fields. From Bio-informatics to Business and …

[PDF][PDF] From Fall Detection to time series clustering

JR Villar Flecha - Workshop on Sensors and Computational …, 2019 - digibuo.uniovi.es
FROMFALLDETECTION TO TIME SERIES CLUSTERING Page 1 José Ramón Villar Computer
Science Department University of Oviedo (SPAIN) FROMFALLDETECTION TO TIME SERIES …