Automated Unsupervised Classification of the Sloan Digital Sky Survey Stellar Spectra using k-means Clustering
Large spectroscopic surveys require automated methods of analysis. This paper explores the use of k-means clustering as a tool for automated unsupervised classification of massive stellar spectral catalogs. The classification criteria are defined by the data and the algorithm, with no prior physical framework. We work with a representative set of
Allende-Prieto, C. et al.
Advertised on:
1
2013