heraldoborges/STMotif: Discovery of Motifs in Spatial-Time Series
Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.
Getting started
Browse package contents
Package details |
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| Author | Heraldo Borges [aut, cre] (CEFET/RJ), Amin Bazaz [aut] (Polytech'Montpellier), Eduardo Ogasawara [aut] (CEFET/RJ) |
| Maintainer | Heraldo Borges <stmotif@eic.cefet-rj.br> |
| License | GPL-2 | GPL-3 |
| Version | 2.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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