« Carte auto adaptative croissante » : différence entre les versions


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[https://en.wikipedia.org/wiki/Outline_of_machine_learning#Machine_learning_algorithms  Source : Wikipedia Machine learning algorithms  ]
[https://en.wikipedia.org/wiki/Outline_of_machine_learning#Machine_learning_algorithms  Source : Wikipedia Machine learning algorithms  ]
[https://www.univ-paris8.fr/Les-cartes-auto-organisatrices-de-Kohonen-SOM  Source : Université Paris 8 ]


[[Catégorie:vocabulary]]
[[Catégorie:vocabulary]]
[[Catégorie:Wikipedia-IA‏‎]]
[[Catégorie:Wikipedia-IA‏‎]]

Version du 21 mai 2021 à 10:07

Définition

Français

carte auto-organisée croissante

Anglais

growing self-organizing map (GSOM)

A growing self-organizing map (GSOM) is a growing variant of a self-organizing map (SOM). The GSOM was developed to address the issue of identifying a suitable map size in the SOM. It starts with a minimal number of nodes (usually 4) and grows new nodes on the boundary based on a heuristic. By using the value called Spread Factor (SF), the data analyst has the ability to control the growth of the GSOM.

All the starting nodes of the GSOM are boundary nodes, i.e. each node has the freedom to grow in its own direction at the beginning. (Fig. 1) New Nodes are grown from the boundary nodes. Once a node is selected for growing all its free neighboring positions will be grown new nodes. The figure shows the three possible node growth options for a rectangular GSOM.


Source : Source : Wikipedia

Source : Wikipedia Machine learning algorithms

Source : Université Paris 8

Contributeurs: Claire Gorjux, Imane Meziani, wiki