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,
|Author||Hunziker Alex [aut, cre], Alejandro Blanco Martinez [ctb]|
|Maintainer||Alejandro Blanco Martinez <[email protected]>|
|Package repository||View on GitHub|
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