Automating t-SNE parameterization with prototype-based learning of manifold connectivity-Reference-Cited by-同舟云学术

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Automating t-SNE parameterization with prototype-based learning of manifold connectivity

Published:2022-10 Issue: Volume:507 Page:441-452
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Taylor Josh,Merényi Erzsébet

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference43 articles.

1. Nonlinear Dimensionality Reduction;Lee,2007

2. Visualizing data using t-SNE;van der Maaten;J. Mach. Learn. Res.,2008

3. SOM-based topology visualisation for interactive analysis of high-dimensional large datasets;Taşdemir;Mach. Learn. Rep.,2012

4. How to use t-sne effectively;Wattenberg;Distill,2016

5. Self-Organizing Maps;Kohonen,2000

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2. Deep feature representation with online convolutional adversarial autoencoder for nonlinear process monitoring;Journal of the Taiwan Institute of Chemical Engineers;2024-02

3. A Self-Organizing UMAP for Clustering;Lecture Notes in Networks and Systems;2024

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