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GrowingSOM (version 0.1.1)

Growing Self-Organizing Maps

Description

A 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.

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Version

Install

install.packages('GrowingSOM')

Monthly Downloads

35

Version

0.1.1

License

GPL-3

Maintainer

Last Published

February 6th, 2017

Functions in GrowingSOM (0.1.1)

train.gsom

Train a Growing Self-Organizing Map
GrowingSOM

\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}GrowingSOMGrowing Self-Organizing Maps
summary.gsom

Summary and print methods for gsom objects
map.gsom

Map data to a supervised or unsupervised gsom object
predict.gsom

Predict function for gsom
auto_mpg

Auto MPG Data Set
plot.gsom

Plot gsom objects
train_xy.gsom

Train a supervised Growing Self-Organizing Map