Deep Embedding Clustering Based on Residual Autoencoder

Clustering algorithm is one of the most widely used and influential analysis techniques. With the advent of deep learning, deep embedding clustering algorithms have rapidly evolved and yield promising results. Much of the success of these algorithms depends on the potential expression captured by th...

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Bibliographic Details

Published in:	Neural processing letters Vol. 56; no. 2
Main Authors:	Li, Mengli, Cao, Chao, Li, Chungui, Yang, Shuhong
Format:	Journal Article
Language:	English
Published:	New York Springer US 30.03.2024
Subjects:	Artificial Intelligence Complex Systems Computational Intelligence Computer Science Representation learning Autoencoder network Deep embedded clustering Residual structure
ISSN:	1573-773X, 1573-773X
Online Access:	Get full text
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