Natural methods of unsupervised topological alignment

Fuente: arXiv
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Main Authors: Arbatskii, Mikhail S., Kukushkin, Maksim V., Balandin, Dmitriy E., Churov, Alexey V.
Format: Preprint
Published: 2025
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author Arbatskii, Mikhail S.
Kukushkin, Maksim V.
Balandin, Dmitriy E.
Churov, Alexey V.
author_facet Arbatskii, Mikhail S.
Kukushkin, Maksim V.
Balandin, Dmitriy E.
Churov, Alexey V.
contents In the paper, we represent a comparison analysis of the methods of the topological alignment and extract the main mathematical principles forming the base of the concept. The main narrative is devoted to the so-called coupled methods dealing with the data sets of various nature. As a main theoretical result, we obtain harmonious generalizations of the graph Laplacian and kernel based methods with the central idea to find a natural structure coupling data sets of various nature. Finally, we discuss prospective applications and consider far reaching generalizations related to the hypercomplex numbers and Clifford algebras.
format Preprint
id arxiv_https___arxiv_org_abs_2510_26631
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Natural methods of unsupervised topological alignment
Arbatskii, Mikhail S.
Kukushkin, Maksim V.
Balandin, Dmitriy E.
Churov, Alexey V.
Functional Analysis
47B15, 47A10, 47S10, 47B12, 47A75, 47B32
In the paper, we represent a comparison analysis of the methods of the topological alignment and extract the main mathematical principles forming the base of the concept. The main narrative is devoted to the so-called coupled methods dealing with the data sets of various nature. As a main theoretical result, we obtain harmonious generalizations of the graph Laplacian and kernel based methods with the central idea to find a natural structure coupling data sets of various nature. Finally, we discuss prospective applications and consider far reaching generalizations related to the hypercomplex numbers and Clifford algebras.
title Natural methods of unsupervised topological alignment
topic Functional Analysis
47B15, 47A10, 47S10, 47B12, 47A75, 47B32
url https://arxiv.org/abs/2510.26631