Mathematics

Joint dimensionality reduction and clustering with missing data

To address the challenge of clustering highdimensional data, subspace clustering methods, such as Reduced K-means (RKM) have been proposed. These methods identify clusters by simultaneously finding the low-dimensional subspaces and the matching…

Yasmine Agliz, Vincent Audigier, Ndèye Niang, Mohamed Nadif

Advanced Machine Learning and Data Science - 2025