Explainable Graph Spectral Clustering For GloVe-like Text Embeddings
Machine Learning
2025-12-23 v2 Artificial Intelligence
Abstract
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 cosine similarity in term vector space. In this paper, we generalize this idea by considering other embeddings of documents, in particular, based on the GloVe embedding idea.
Keywords
Cite
@article{arxiv.2508.14075,
title = {Explainable Graph Spectral Clustering For GloVe-like Text Embeddings},
author = {Mieczysław A. Kłopotek and Sławomir T. Wierzchoń and Bartłomiej Starosta and Piotr Borkowski and Dariusz Czerski and Eryk Laskowski},
journal= {arXiv preprint arXiv:2508.14075},
year = {2025}
}
Comments
47 pages, 19 tables, 11 figures