Comparison of different clustering algorithms and Autoencoder
K-means clustering, spectral clustering and Leiden clustering(a modified version of louvain clustering algorithm). We will play around with those three algorithms on different datasets, and see how those algorithms perform in different circumstances.
Use autoencoder to do dimensionality reduction on a human peripheral blood mononu-clear cells(PBMCs) dataset.