Description Usage Arguments Value Author(s) References
This function uses package "kohonen" (self-organized maps) to find clusters in satellite image time series.
1 2 | sits_kohonen(data.tb, bands = NULL, grid_xdim = 5, grid_ydim = 5,
rlen = 100, alpha = c(0.05, 0.01), ...)
|
data.tb |
a SITS tibble the list of time series to be clustered |
bands |
the bands to be clusterized. |
grid_xdim |
x dimension of the SOM grid (used only in 'kohonen' or 'kohonen-dendogram' methods). Defaul is 5. |
grid_ydim |
y dimension of the SOM grid |
rlen |
the number of times the complete data set will be presented to the SOM grid |
alpha |
learning rate, a vector of two numbers indicating the amount of change. Default is to decline linearly from 0.05 to 0.01 over rlen updates. |
... |
Additional parameters to be passed to kohonen::supersom function |
clusters.tb a SITS tibble with the clusters time series or cluster' members time series according to return_member parameter. If return_members are FALSE, the returning SITS table will contain a new collumn called 'n_members' informing how many members has each cluster.
Gilberto Camara, gilberto.camara@inpe.br
Rolf Simoes, rolf.simoes@inpe.br
Lorena Alves, lorena.santos@inpe.br
'kohonen' package (https://CRAN.R-project.org/package=kohonen)
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