som_clas | R Documentation |
som_clas
allows to perform a SOM synoptic classification
som_clas(
x,
xdim,
ydim,
iter = 2000,
alpha = c(0.05, 0.01),
dist.fcts = "euclidean",
mode = "online",
cores = 1,
norm = T
)
x |
data.frame. A data.frame with the following variables: |
xdim |
Integer. X dimension of the grid. See |
ydim |
Integer. Y dimension of the grid. See |
iter |
integer. Number of iterations. |
alpha |
vector. learning rate. See |
dist.fcts |
character. vector of distance functions to be used for the individual data layers. See |
mode |
carachter. type of learning algorithm. Default "on-line". See |
cores |
Integer. Parallel processing only available for "pbatch" algorithm. |
norm |
logical. Default |
A list with:
A data.frame containing the dates and the weather types.
A data frame containing the gridded data grouped by circulation types.
An object of class kohonen
with all the components returned by the function som
Wehrens, R. and BuydenL. (2007) Self- and Super-organizing Maps in R: The kohonen Package Journal of Statistical Software, 21(5), 1 - 19.
as_synoptReg
# Load data
data(z500)
# SOM classification
som_cl <- som_clas(z500, xdim = 4, ydim = 4, iter = 200)
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