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cs.LG2025
Subspace Clustering of Subspaces: Unifying Canonical Correlation Analysis and Subspace Clustering
Paris A. Karakasis, Nicholas D. Sidiropoulos
We introduce a novel framework for clustering a collection of tall matrices based on their column spaces, a problem we term Subspace Clustering of Subspaces (SCoS). Unlike traditio…
cs.SI2025
The Vertex-Attribute-Constrained Densest -Subgraph Problem
Qiheng Lu, Nicholas D. Sidiropoulos, Aritra Konar
Dense subgraph mining is a fundamental technique in graph mining, commonly applied in fraud detection, community detection, product recommendation, and document summarization. In s…