e-sensing/kohonenDTW: Supervised and Unsupervised Self-Organising Maps for Satellite Image Time Series

Functions to train self-organising maps (SOMs) generated by satellite image time series. Also interrogation of the maps and prediction using trained maps are supported. The name of the package refers to Teuvo Kohonen, the inventor of the SOM.

Getting started

Package details

AuthorLorena Alves, based on package "kohonen" by Ron Wehrens and Johannes Kruisselbrink
MaintainerLorena Alves <[email protected]>
LicenseGPL (>= 2) | file LICENSE
Version0.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("e-sensing/kohonenDTW")
e-sensing/kohonenDTW documentation built on Aug. 18, 2018, 12:12 a.m.