Detection of exoplanets from TESS imaging data using unsupervised machine learning techniques
Sourav Chakraborty
The identification of exoplanets within habitable zones remains a central objective in modern astrophysics, particularly with the availability of large-scale photometric datasets from space-based missions such as the Transiting Exoplanet Survey Satellite (TESS). This study investigates the effectiveness of unsupervised machine learning techniques–specifically k-means and k-medians clustering–for analyzing and classifying light curves derived from galactic stellar populations. By extracting both