R: Evaluate cluster

sits_som_evaluate_cluster {sits} | R Documentation

## Evaluate cluster

### Description

This function evaluate the clusters created by SOM. Each cluster is a neuron or a set of neuron categorized with same label. It produces a sits tibble indicating the percentage of mixture of classes in each cluster.

### Usage

    sits_som_evaluate_cluster(som_map)

### Arguments

`som_map` | An object returned by `sits_som_map`

### Value

A tibble with the cluster and the percentage of classes mixtured in each cluster.

### Author(s)

Lorena Santos, lorena.santos@inpe.br

Karine Ferreira. karine.ferreira@inpe.br

### Examples

    ## Not run:
    # Read a set of samples
    # Get a new subset of samples evaluated by clustering methods
    som_map <- sits_som_map(samples_modis_4bands,
        grid_xdim = 10, grid_ydim = 10,
        distance = "euclidean"
    )
    cluster_purity <- sits_som_evaluate_cluster(som_map)

    ## End(Not run)

[Package sits version 0.12.0 Index]