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...

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Bibliographic Details

Published in:	Evolving systems Vol. 11; no. 3; pp. 453 - 466
Main Authors:	Nousi, Paraskevi, Tefas, Anastasios
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2020
Subjects:	Artificial Intelligence Complex Systems Complexity Engineering Original Paper Dimensionality reduction Deep learning Clustering Autoencoders Classification
ISSN:	1868-6478, 1868-6486
Online Access:	Get full text
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