A Machine Learning classification model for targets observed by NASA's K2 mission.
The variable star classes used here are RR Lyrae, Eclipsing Binaries (detached & semi-detached), Gamma-Dor and Delta Scuti.
Classification model built using self-organising maps and random forests.
Based on final year Master's project work whilst studying at the University of Warwick. For details on the model, see http://www.chancehaycock.co.uk/wp-content/uploads/2020/03/MNRAS_report.pdf
Find more about the K2 mission here - https://exoplanets.nasa.gov/k2/