Litier/CKTSOM: Construction, training and visualization of Self-Organizing Trees
a tool for defining, training and visualizing self-organizing trees. The training phase is based on the well known self-organizing maps (SOM) algorithm, a type of neural network that performs unsupervised learning, grouping multidimensional data. The graphic Visualization is focused on a scatterplot the shows the data being analized as long as the tree, showing the neurons (nodes) and the connections
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | César A. Astudillo <cesar dot astudillo at gmail> and Javier Aros Mendoza <jaros11@alumnos.utalca.cl> |
| Maintainer | Javier Aros Mendoza <jaros11@alumnos.utalca.cl> |
| License | GPL v3 |
| Version | 0.1.3 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
