| .sits_som_bayes_estimate {sits} | R Documentation |
Computes the probability of a sample belongs to a cluster using bayesian filter.
.sits_som_bayes_estimate(data, kohonen_obj, labelled_neurons, som_radius)
data |
A tibble with samples. |
kohonen_obj |
Object that contains all parameters of SOM provided by "kohonen" package |
labelled_neurons |
A tibble containing information about each neuron. |
som_radius |
Distance in the SOM map to consider neighbours |
Returns the probability of a sample belongs to a cluster based on the class of neuron and its neighborhood.
Lorena Santos, lorena.santos@inpe.br