Generation of Automatic Spectral Classification Map Using Clustering at the South Pole-Aitken Basin on the Moon

The exploration of water ice on the lunar surface is a recent hot topic in planetary science. In particular, the South Pole-Aitken (SPA) region of the Moon is the most promising candidate site and has attracted significant attention. However, most of the previous studies have manually analyzed observation data from limited areas within the SPA region, which is laborious and costly. Therefore, this study aims to automatically generate a geological map of the SPA region by applying multiple clustering methods. The results show that the results of C-Means and Spectral Clustering are close to those of manual analysis.