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cap241:2018:tsclustering [2018/08/22 16:31]
karine
cap241:2018:tsclustering [2018/08/22 21:31]
karine
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 +{{:​cap241:​2018:​curso_logo.png?​700}}
  
 ===== Satellite Image Time Series Clustering using SOM ==== ===== Satellite Image Time Series Clustering using SOM ====
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   * Local: LIT - INPE   * Local: LIT - INPE
   * Data: 23 de Agosto de 2018   * Data: 23 de Agosto de 2018
- 
  
 ===== Material do curso ===== ===== Material do curso =====
 +
 +O curso será ministrado em 2 partes, uma teórica e outra prática. ​
   * Parte teórica  ​   * Parte teórica  ​
   * Parte prática ​   * Parte prática ​
-  * R scripts ​+  * {{:​cap241:​2018:​script_dados_curso.zip|Download - script e dados de séries temporais }}  
 + 
 +O acompanhamento da execução do script em R pode ser feito [[cap241:​2018:​rscript2|aqui]]. 
 +===== Parte prática: ambiente computacional ===== 
 + 
 +O curso terá uma parte prática utilizando R. Os inscritos devem trazer seus próprios notebooks com os seguintes softwares instalados:​ 
 +  - [[https://​www.rstudio.com/​products/​rstudio/​download/​|RStudio Desktop - versão >= 1.0.153]] 
 +  - [[http://​nbcgib.uesc.br/​mirrors/​cran/​|R - versão >= 3.3.3]] 
 + 
 +Depois de instalado o R e o RStudio, os seguintes pacotes do R devem ser instalados:​ 
 +  - zoo 
 +  - kohonen 
 +  - dplyr 
 +  - ggplot2 
 +  - stats 
 +  - proxy 
 +  - dendextend 
 +  - TSdist 
 +  - dtw 
 + 
 +Todos os pacotes estão disponíveis no CRAN e para instalá-los todos de uma vez utilize o comando abaixo:  
 + 
 +<​code>​ 
 +install.packages(c("​zoo","​kohonen","​dplyr",​ "​ggplot2",​ "​stats",​ "​proxy","​dendextend","​TSdist",​ "​dtw"​),​ dependencies = TRUE) 
 +</​code>​ 
  
 ===== Referências Bibliográficas ===== ===== Referências Bibliográficas =====
-  * (Esling and Agon, 2012) Esling, Philippe, and Carlos Agon. "​Time-series data mining."​ ACM Computing Surveys (CSUR) 45.1 (2012): 12. +  ​* **(Aghabozorgi et al. 2015)** Aghabozorgi,​ Saeed, Ali Seyed Shirkhorshidi,​ and Teh Ying Wah. "​Time-series clustering–A decade review."​ Information Systems. 53 (2015): 16-38 
-  * (Aghabozorgi et al. 2015AghabozorgiSaeed, Ali Seyed Shirkhorshidi,​ and Teh Ying Wah. "Time-series clustering–A decade review." ​Information Systems53 (2015): 16-38 +  * **(Ding et al. 2008)** Ding, Hui, et al. "​Querying and mining of time series data: experimental comparison of representations and distance measures."​ Proceedings of the VLDB Endowment 1.2 (2008): 1542-1552. 
-  * (Keogh and Lin, 2003) Keogh, Eamonn, and Jessica Lin. "​Clustering of time-series subsequences is meaningless:​ implications for previous and future research."​ Knowledge and information systems 8.2 (2005): 154-177. +  * **(Esling and Agon, 2012)** Esling, Philippe, and Carlos Agon. "​Time-series data mining."​ ACM Computing Surveys (CSUR) 45.1 (2012): 12. 
-  * (Ding et al. 2008DingHuiet al"​Querying and mining ​of time series data: experimental comparison of representations ​and distance measures."​ Proceedings of the VLDB Endowment 1.(2008): 1542-1552+  ​* **(Giogino, 2009)** GiorginoToni. "Computing and visualizing dynamic time warping alignments in R: the dtw package." ​Journal of statistical Software 31.(2009): 1-24. 
-  * (Mori et al. 2016) Mori, Usue, Alexander Mendiburu, and Jose A. Lozano. "​Distance measures for time series in R: The TSdist package."​ R J. 8 (2016): 451-459.+  ​* **(Keogh and Lin, 2003)** Keogh, Eamonn, and Jessica Lin. "​Clustering of time-series subsequences is meaningless:​ implications for previous and future research."​ Knowledge and information systems 8.2 (2005): 154-177. 
 +  ​* **(Keogh and Ratanamahatana,​ 2005)**  KeoghEamonnand Chotirat Ann Ratanamahatana“Exact indexing ​of dynamic ​time warping” Knowledge ​and information systems 7.(2005): 358-386
 +  ​* **(Mori et al. 2016)** Mori, Usue, Alexander Mendiburu, and Jose A. Lozano. "​Distance measures for time series in R: The TSdist package."​ R J. 8 (2016): 451-459. 
 +  * **(Samarasinghe,​ 2016)** Samarasinghe,​ Sandhya. “Neural networks for applied sciences and engineering:​ from fundamentals to complex pattern recognition.” Auerbach publications,​ (2016). 
  

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