Application of Self-Organizing Map to Stellar Spectral Classifications

Understand

We present an automatic, fast, accurate and robust method of classifying astronomical objects.

• The Self Organizing Map (SOM) as an unsupervised Artificial Neural Network (ANN) algorithm is used for classification of stellar spectra of stars.
• The SOM is used to make clusters of different spectral classes of Jacoby, Hunter and Christian (JHC) library.
• This ANN technique needs no training examples and the stellar spectral data sets are directly fed to the network for the classification.