Outlier detection of galaxy classification with machine learning
When studying the classification of galaxies with unsupervised machine learning using the physical information available in data such as the SDSS MaNGA integral field spectroscopic survey, outliers appear in the results. These may result from non-physical issues or confusions in the software, but may also constitute a potent tool to find 'strange'
Santamaria Dieguez, C.
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2021