Evolution of SOMs’ Structure and Learning Algorithm: From Visualization of High-Dimensional Data to Clustering of Complex Data

In this paper, we briefly present several modifications and generalizations of the concept of self-organizing neural networks—usually referred to as self-organizing maps (SOMs)—to illustrate their advantages in applications that range from high-dimensional data visualization to complex data clusteri...

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Bibliographic Details
Main Authors: Marian B. Gorzałczany, Filip Rudziński
Format: Artigo
Language:Inglês
Published: MDPI AG 2020-04-01
Series:Algorithms
Subjects:
artificial intelligence
computational intelligence
artificial neural networks
self-organizing neural networks
self-organizing maps
high-dimensional data visualization
Online Access:https://www.mdpi.com/1999-4893/13/5/109
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