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[ascl:1705.015] WeirdestGalaxies: Outlier Detection Algorithm on Galaxy Spectra

WeirdestGalaxies finds the weirdest galaxies in the Sloan Digital Sky Survey (SDSS) by using a basic outlier detection algorithm. It uses an unsupervised Random Forest (RF) algorithm to assign a similarity measure (or distance) between every pair of galaxy spectra in the SDSS. It then uses the distance matrix to find the galaxies that have the largest distance, on average, from the rest of the galaxies in the sample, and defined them as outliers.

Code site:
https://github.com/dalya/WeirdestGalaxies
Described in:
https://ui.adsabs.harvard.edu/abs/2017MNRAS.465.4530B
Bibcode:
2017ascl.soft05015B

Views: 4116

ascl:1705.015
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