Subspace Clustering on Incomplete Data with Self-Supervised Contrastive Learning

Huanran Li, Daniel Pimentel-Alarcón

Subspace clustering aims to group data points that lie in a union of low-dimensional subspaces and finds wide application in computer vision, hyperspectral imaging, and recommendat…