Mixing Autoencoder With Classifier: Conceptual Data Visualization

Mixing Autoencoder With Classifier: Conceptual Data Visualization

In this paper, a neural network that is able to form a low-dimensional topological hidden representation is explained. The neural network can be trained as an autoencoder, as a classifier or as a mixture of both and produces a different low-dimensional topological map for each. When it is trained as...

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Bibliographic Details
Main Author: Pitoyo Hartono
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Autoencoder
concept visualization
dimensional reduction
learning representations
neural network
self-organizing maps
Online Access:https://ieeexplore.ieee.org/document/9105001/

Internet

https://ieeexplore.ieee.org/document/9105001/

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