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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
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Package details |
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| Author | Heraldo Borges [aut, cre] (CEFET/RJ), Amin Bazaz [aut] (Polytech'Montpellier), Esther Pacciti [aut] (INRIA/Polytech'Montpellier), Eduardo Ogasawara [aut] (CEFET/RJ) |
| Maintainer | Heraldo Borges <stmotif@eic.cefet-rj.br> |
| License | MIT + file LICENSE |
| Version | 2.0.2 |
| URL | https://github.com/heraldoborges/STMotif/wiki |
| Package repository | View on CRAN |
| Installation |
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