24 citations · 43 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2018★ 24 cited
Machine learning in APOGEE: Unsupervised spectral classification with -means
Rafael Garcia-Dias, Carlos Allende Prieto, Jorge Sánchez Almeida +1
The data volume generated by astronomical surveys is growing rapidly. Traditional analysis techniques in spectroscopy either demand intensive human interaction or are computational…
astro-ph.GA2017★ 19 cited
Searching for luminous absorbed sources in the WISE AGN catalogue
G. Mountrichas, I. Georgantopoulos, N. J. Secrest +6
Mid-IR colour selection techniques have proved to be very efficient in finding AGN. This is because the AGN heats the surrounding dust producing warm mid-IR colours. Using the WISE…