Il existe de nombreux types d’algorithmes de clustering, tels que k-means, hiérarchique, DBSCAN, spectral, etc. Chaque algorithme a ses propres avantages et inconvénients, et peut fonctionner ...

High-dimensional data refers to datasets with a large number of variables or features, which can pose challenges for traditional clustering algorithms. To effectively cluster such data, here are ...