T-ARC: Topology-Aware Randomized Clustering via Distributionally Robust Stochastic Block Models
In this work, we introduce a new clustering method, namely T-ARC (Topology-Aware Randomized Clustering), that corrects the geometric bias of K-means by embedding topological information directly into the optimization objective. Building on the assumption that the data admits an underlying hidden structure modeled via a...
S. D. De Benedictis, A. Ang, N. Del Buono et al.
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