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,
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Package details |
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| Author | Hunziker Alex [aut, cre], Alejandro Blanco Martinez [ctb] |
| Maintainer | Alejandro Blanco Martinez <alecuba.16@googlemail.com> |
| License | GPL-3 |
| Version | 0.1.2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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