About: self-organizing map

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An Entity of Type : owl:Class, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Class
label	self-organizing map
subClassOf	class discovery data transformation nodeID://b665185048 nodeID://b665209345 nodeID://b665807867 nodeID://b665832164 nodeID://b665864379 nodeID://b665888676 nodeID://b665912973 nodeID://b665937270 nodeID://b669072992 nodeID://b669097177
described by	proxy:entity/http/purl.obolibrary.org/obo/obi.owl
term editor	James Malone Ryan Brinkman
definition	A self-organizing map (SOM) is an artificial neural network with objective class discovery that uses a neighborhood function to preserve the topological properties of a dataset to produce low-dimensional (typically 2) discretized representation of the training data set. A set of artificial neurons learn to map points in an input space to coordinates in an output space. The input space can have different dimensions and topology from the output space, and the SOM will attempt to preserve these. A self-organizing map (SOM) is an artificial neural network with objective class discovery that uses a neighborhood function to preserve the topological properties of a dataset to produce low-dimensional (typically 2) discretized representation of the training data set. A set of artificial neurons learn to map points in an input space to coordinates in an output space. The input space can have different dimensions and topology from the output space, and the SOM will attempt to preserve these.
definition source	PERSON: Ryan Brinkman
alternative label	SOM
editor preferred term	self-organizing map
has curation status	pending final vetting
is topic of	Ontology for Biomedical Investigations
is hasBody of	named entity 'SOM' named entity 'SELF-ORGANIZING MAP' named entity 'SOM' named entity 'SELF-ORGANIZING MAP' named entity 'SELF-ORGANIZING MAP' named entity 'SELF-ORGANIZING MAP' named entity 'SELF-ORGANIZING MAP' named entity 'SOM' named entity 'SOM' named entity 'SOM'

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