sits_plot_kohonen

Data to be plotted (must be a kohonen object).

Type of plot. "codes" is the weight of neuron (time series) and "mapping" is the number of samples allocated in a neuron.

type

Given a kohonen object with a set of time neurons, plot them.
The plot function produces different plots based on the input data:<ul>
<li>"codes": Plot in each neuron the vector weight which corresponds to it.</li>
<li>"mapping": Shows where samples are mapped.</li>
</ul>Function sits_plot_kohonen plots a classified kohonen map. A set of neurons
with same category corresponds to a same cluster.

A set of tools for working with satellite image time series.
Supports data retrieval from a WTSS (web time series service) and other data sets.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Enables different clustering methods, including dendrograms and SOM.
Matches noiseless patterns with noisy time series using the TWDTW method for shape recognition.
Provide machine learning methods for time series classification, including SVM, LDA, QDA, GLM, Lasso, Random Forests and Deep Learning.

Pedro Andrade

sits

Satellite Image Time Series Analysis

Rolf Simoes

Gilberto Camara

Victor Maus

Alexandre Carvalho

Lorena Santos

Gilberto Queiroz

Alber Sanchez

Luiz Assis

Adeline Marinho

sits_plot_kohonen function

Plot the SOM grid with neurons labeled — sits_plot_kohonen

Plot the SOM grid with neurons labeled

sits_plot_kohonen: Plot the SOM grid with neurons labeled

Description

Usage

Arguments