Deep Self-Organizing Map of Convolutional Layers for Clustering and Visualizing Image Data

Deep Self-Organizing Map of Convolutional Layers for Clustering and Visualizing Image Data

The self-organizing convolutional map (SOCOM) hybridizes convolutional neural networks, self-organizing maps, and gradient backpropagation optimization into a novel integrated unsupervised deep learning model. SOCOM structurally combines, architecturally stacks, and algorithmically fuses its deep/un...

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Bibliographic Details
Main Authors: Christos Ferles, Yannis Papanikolaou, Stylianos P. Savaidis, Stelios A. Mitilineos
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Machine Learning and Knowledge Extraction
Subjects:
deep learning
unsupervised learning
convolutional neural network (CNN)
self-organizing map (SOM)
clustering
visualization
Online Access:https://www.mdpi.com/2504-4990/3/4/44

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https://www.mdpi.com/2504-4990/3/4/44

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