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[ascl:2009.013] AstroVaDEr: Unsupervised clustering and synthetic image generation

AstroVaDEr (Astronomical Variational Deep Embedder) performs unsupervised clustering and synthetic image generation using astronomical imaging catalogs to classify their morphologies. This variational autoencoder leverages improvements to the variational deep clustering (VDC) paradigm; its variational inference properties allow the network to be employed as a generative network. AstroVaDEr can be adapted to various surveys and image classification problems.

Code site:
https://github.com/AshleySpindler/AstroVaDEr-Public
Described in:
https://ui.adsabs.harvard.edu/abs/2020arXiv200908470S
Bibcode:
2020ascl.soft09013S

Views: 137

ascl:2009.013
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