Enhancing Stability of the Weakly Supervised Regression Algorithm Using Manifold Regularization and Fuzzy Clustering Full article
| Journal |
Pattern Recognition and Image Analysis
ISSN: 1054-6618 , E-ISSN: 1555-6212 |
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| Output data | Year: 2025, Volume: 35, Number: 1, Pages: 16-18 Pages count : 3 DOI: 10.1134/S1054661824701414 | ||||
| Tags | Weakly supervised regression, Manifold regularization, Co-association matrix, Fuzzy clustering, Cluster ensemble | ||||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Russian Science Foundation | 24-21-00195 |
Abstract:
Weakly supervised learning algorithms have become increasingly important for modeling complex systems where precise labels are scarce or expensive to obtain. There are specialized algorithms for solving the weakly supervised regression problem, such as the Weakly Supervised Regression algorithm [1], which is based on manifold regularization and cluster ensemble. In this article, we introduce novel improvements to original algorithm, that significantly increase the stability and quality of the algorithm and reduce its dependence on properly selected hyperparameters. This result is achieved through the use of fuzzy clustering and consistency weights when constructing a cluster ensemble.
Cite:
Kalmutskiy K.
, Berikov V.
Enhancing Stability of the Weakly Supervised Regression Algorithm Using Manifold Regularization and Fuzzy Clustering
Pattern Recognition and Image Analysis. 2025. V.35. N1. P.16-18. DOI: 10.1134/S1054661824701414 WOS Scopus РИНЦ OpenAlex
Enhancing Stability of the Weakly Supervised Regression Algorithm Using Manifold Regularization and Fuzzy Clustering
Pattern Recognition and Image Analysis. 2025. V.35. N1. P.16-18. DOI: 10.1134/S1054661824701414 WOS Scopus РИНЦ OpenAlex
Dates:
| Submitted: | Nov 18, 2024 |
| Accepted: | Dec 13, 2024 |
| Published print: | Mar 26, 2025 |
| Published online: | Apr 6, 2025 |
Identifiers:
| Web of science: | WOS:001460047000003 |
| Scopus: | 2-s2.0-105005069405 |
| Elibrary: | 80615950 |
| OpenAlex: | W4409197418 |
Citing:
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