This is the final project done for MATH 185, Learning from Large Datasets taught by Professor Guangliang Chen. This project was done under collaboration with Claire Lin at May of 2022. Scalar Spectral Clustering is done on the following dataset and Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are used for data-preprocessing.
Presentation slides: https://drive.google.com/file/d/1YW4b5HyIe0pvnPnFA4_1c5XNerPR4M9w/view?usp=sharing
Dataset: https://www.kaggle.com/datasets/fedesoriano/stellar-classification-dataset-sdss17