R: Probability of a sample belongs to a cluster using bayesian...

.sits_som_bayes_estimate {sits} | R Documentation

## Probability of a sample belongs to a cluster using bayesian filter

### Description

Computes the probability of a sample belongs to a cluster using bayesian filter.

### Usage

    .sits_som_bayes_estimate(data, kohonen_obj, labelled_neurons, som_radius)

### Arguments

`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

### Value

Returns the probability of a sample belongs to a cluster based on the class of neuron and its neighborhood.

### Author(s)

Lorena Santos, lorena.santos@inpe.br

[Package sits version 0.14.0 Index]