Machine learning in APOGEE. Unsupervised spectral classification with K-means
Context. The volume of data generated by astronomical surveys is growing rapidly. Traditional analysis techniques in spectroscopy either demand intensive human interaction or are computationally expensive. In this scenario, machine learning, and unsupervised clustering algorithms in particular, offer interesting alternatives. The Apache Point
Garcia-Dias, R. et al.
Fecha de publicación:
5
2018