We are working on a project to automate the multi-parameter classification of stellar spectra using Principal Components Analysis (PCA) and Artificial Neural Networks. We present here the usefulness of PCA as a form of spectral data compression, and our results to date of classification on the MK system.
Astronomical Data Analysis Software and Systems V
Astronomical Society of the Pacific
Scholarly Commons Citation
Jones, C. A., Irwin, M., & Hippel, T. v. (1996). The Application of Artificial Neural Networks to Stellar Classification. Astronomical Data Analysis Software and Systems V, 101(). Retrieved from https://commons.erau.edu/publication/2073