Growing Hierarchical Self-Organising Representation Map (GHSORM)

The Growing Hierarchical Self-Organising Representation Map (GHSORM) is a model fusing the denoising autoencoder, used to better represent a dataset, and the Growing Hierarchical Self-Organising Map, used for organizing and projecting the input data in clusters of varying detail. It is shown here th...

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Bibliographic Details

Published in:	Information sciences Vol. 642; p. 119121
Main Authors:	Coulson, Matthew, Ferles, Christos, Winberg, Simon, Naidoo, Kevin J.
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.09.2023
Subjects:	Cancer clustering Cancer sub-typing Denoising autoencoder Hierarchical Self-organizing map Unsupervised learning Hierarchical Denoising autoencoder Cancer clustering Self-organizing map Unsupervised learning Cancer sub-typing
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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