Table of Contents
Abstract
This tool written in matlab allows to perform time series data classification. To do so, the tool follows a multivariate approach where, first of all, a set of features are obtained that take into account both each series separately and the relationships between them. The most relevant features are then selected and used in a linear discriminant for the classification process.
Screenshots
Acknowledgments
The research leading to these results has received funding from the Spanish Ministry of Economy and Competitiveness under grants C080020-09 (CajalBlue Brain Project, Spanish partner of the Blue Brain Projectinitiative from EPFL), TIN2017-83132-C2-1-R (VIANA), and a FPU grant to Ivan Velasco, as well as from the EuropeanUnion’s Horizon 2020 Framework Programme for Research and Innovationunder the Specific Grant Agreements No. 785907 (Human Brain ProjectSGA2) and 945539 (Human Brain Project SGA3), and for the Agencia Estatal de Investigación (PID2019-108311GB-I00 / AEI / 10.13039/501100011033 and PID2019-106254RB-I00).