alecuba16/HDGSOM: High Dimensionality Growing Self-Organizing Maps

A High Dimensionality growing self-organizing map (GrowingSOM, GSOM) is a growing variant of the popular self-organizing map (SOM). A growing self-organizing map is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a two-dimensional representation of the input space of the training samples, called a map. This HDGSOM have been improved,

Getting started

Package details

AuthorHunziker Alex [aut, cre], Alejandro Blanco Martinez [ctb]
MaintainerAlejandro Blanco Martinez <[email protected]>
LicenseGPL-3
Version0.1.2
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("alecuba16/HDGSOM")
alecuba16/HDGSOM documentation built on May 16, 2018, 12:24 a.m.