SOMEnv: SOM Algorithm for the Analysis of Multivariate Environmental
Data
Analysis of multivariate environmental high frequency data by Self-Organizing Map and k-means clustering algorithms. By means of the graphical user interface it provides a comfortable way to elaborate by self-organizing map algorithm rather big datasets (txt files up to 100 MB ) obtained by environmental high-frequency monitoring by sensors/instruments. The functions present in the package are based on 'kohonen' and 'openair' packages implemented by functions embedding Vesanto et al. (2001) <http://www.cis.hut.fi/projects/somtoolbox/package/papers/techrep.pdf> heuristic rules for map initialization parameters, k-means clustering algorithm and map features visualization. Cluster profiles visualization as well as graphs dedicated to the visualization of time-dependent variables Licen et al. (2020) <doi:10.4209/aaqr.2019.08.0414> are provided.
| Version: |
1.1.2 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
rlist, kohonen, shiny, dplyr, plyr, openair, colourpicker, shinycssloaders, shinycustomloader |
| Published: |
2021-07-26 |
| Author: |
Sabina Licen [aut, cre],
Marco Franzon [aut],
Tommaso Rodani [aut],
Pierluigi Barbieri [aut] |
| Maintainer: |
Sabina Licen <slicen at units.it> |
| BugReports: |
https://github.com/SomEnv/somenv/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/SomEnv/somenv |
| NeedsCompilation: |
no |
| Citation: |
SOMEnv citation info |
| CRAN checks: |
SOMEnv results |
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