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cs.LG2025
Rough Sets for Explainability of Spectral Graph Clustering
Bartłomiej Starosta, Sławomir T. Wierzchoń, Piotr Borkowski +4
Graph Spectral Clustering methods (GSC) allow representing clusters of diverse shapes, densities, etc. However, the results of such algorithms, when applied e.g. to text documents,…
cs.LG2025
Explainable Graph Spectral Clustering For GloVe-like Text Embeddings
Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Bartłomiej Starosta +3
In a previous paper, we proposed an introduction to the explainability of Graph Spectral Clustering results for textual documents, given that document similarity is computed as cos…