Ontology for Biomedical Investigations

Last uploaded: January 23, 2019

Preferred Name	self-organizing map
Definitions	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.
ID	http://purl.obolibrary.org/obo/OBI_0000701
alternative term	SOM
definition source	PERSON: Ryan Brinkman
editor preferred label	self-organizing map
has curation status	http://purl.obolibrary.org/obo/IAO_0000125
label	self-organizing map
prefixIRI	OBI:0000701
prefLabel	self-organizing map
term editor	James Malone Ryan Brinkman
textual 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.
subClassOf	http://purl.obolibrary.org/obo/OBI_0200175

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Delete	Mapping To	Ontology	Source
	http://ncicb.nci.nih.gov/xml/owl/EVS/Thesaurus.owl#C63920	National Cancer Institute Thesaurus	LOOM