AstroVaDEr: Unsupervised clustering and synthetic image generation

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Ada Coda
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AstroVaDEr: Unsupervised clustering and synthetic image generation

Post by Ada Coda » Tue Sep 29, 2020 4:45 pm

AstroVaDEr: Unsupervised clustering and synthetic image generation

Abstract: 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.

Credit: Spindler, Ashley; Geach, James E.; Smith, Michael J.

Site: https://github.com/AshleySpindler/AstroVaDEr-Public
https://ui.adsabs.harvard.edu/abs/2020arXiv200908470S

Bibcode: 2020ascl.soft09013S

ID: ascl:2009.013

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