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 …
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 …
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 …
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 …
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 …