Starting with pre-selected core objects, DBSCAN extends each cluster based on the connectivity between data points; DBSCAN takes noisy data into consideration, hence robust to outliers; Choosing good ...

Classical spectral clustering algorithms consist of two separate stages: 1) solving a relaxed continuous optimization problem to obtain a real matrix followed by 2) applying ${K}$ -means or spectral ...