Brief Review of Self-Organizing Maps (CROSBI ID 648281)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Miljković, Dubravko
engleski
Brief Review of Self-Organizing Maps
As a particular type of artificial neural networks, self-organizing maps (SOMs) are trained using an unsupervised, competitive learning to produce a low- dimensional, discretized representation of the input space of the training samples, called a feature map. Such a map retains principle features of the input data. Self-organizing maps are known for its clustering, visualization and classification capabilities. In this brief review paper basic tenets, including motivation, architecture, math description and applications are reviewed.
self-organizing maps, neural networks, clustering, visualization, classification
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Podaci o prilogu
1252-1257.
2017.
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objavljeno
978-953-233-093-9
Podaci o matičnoj publikaciji
MIPRO 2017 - CTS (conference CD)
Petar Biljanović
Rijeka:
Podaci o skupu
MIPRO 2017
predavanje
22.05.2017-26.05.2017
Opatija, Hrvatska