Towards Explainable Graph Spectral Clustering for BERT Embeddings Cover

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Towards Explainable Graph Spectral Clustering for BERT Embeddings

Journal of Automation, Mobile Robotics and Intelligent Systems

Volume 20 (2026): Issue 1 (March 2026)

By: Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Bartłomiej Starosta, Piotr Borkowski and Dariusz Czerski

Open Access

|Mar 2026

Authors

Mieczysław A. Kłopotek

klopotek@ipipan.waw.pl

Instytut Podstaw Informatyki Polskiej Akademii Nauk, Warszawa, Poland

Sławomir T. Wierzchoń

stw@ipipan.waw.pl

Instytut Podstaw Informatyki Polskiej Akademii Nauk, Warszawa, Poland

Bartłomiej Starosta

barstar@ipipan.waw.pl

Instytut Podstaw Informatyki Polskiej Akademii Nauk, Warszawa, Poland

Piotr Borkowski

p.borkowski@ipipan.waw.pl

Instytut Podstaw Informatyki Polskiej Akademii Nauk, Warszawa, Poland

Dariusz Czerski

dcz@ipipan.waw.pl

Instytut Podstaw Informatyki Polskiej Akademii Nauk, Warszawa, Poland

DOI: https://doi.org/10.14313/jamris-2026-005 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649

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Language: English

Page range: 53 - 65

Submitted on: Jul 10, 2025

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Accepted on: Aug 10, 2025

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Published on: Mar 31, 2026

Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Explainable Machine Learning,

Natural Language Processing,

Graph Spectral Clustering,

Document Embedding versus Explainability,

BERT and GloVe and TVS Embedding

Related subjects:

Computer sciences,

Artificial intelligence,

Electrical engineering,

Control engineering, metrology and testing,

Mechanical engineering,

Fundamentals of mechanical engineering

© 2026 Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Bartłomiej Starosta, Piotr Borkowski, Dariusz Czerski, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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