Self-supervised autoencoders for clustering and classification

Clustering techniques aim at finding meaningful groups of data samples which exhibit similarity with regards to a set of characteristics, typically measured in terms of pairwise distances. Due to the so-called curse of dimensionality, i.e., the observation that high-dimensional spaces are unsuited f...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Evolving systems Jg. 11; H. 3; S. 453 - 466
Hauptverfasser:	Nousi, Paraskevi, Tefas, Anastasios
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2020
Schlagworte:	Artificial Intelligence Complex Systems Complexity Engineering Original Paper Dimensionality reduction Deep learning Clustering Autoencoders Classification
ISSN:	1868-6478, 1868-6486
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!