Model and method for constructing a heterogeneous cluster ensemble Full article
Journal |
Automation and Remote Control
ISSN: 0005-1179 , E-ISSN: 1608-3032 |
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Output data | Year: 2022, Volume: 83, Number: 12, Pages: 1944-1958 Pages count : 19 DOI: 10.1134/S00051179220120086 | ||||
Tags | cluster analysis, ensemble of algorithms, co-association matrix, cluster ensemble model, optimal weights of algorithms | ||||
Authors |
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Affiliations |
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Funding (1)
1 | Russian Science Foundation | 22-21-00261 |
Abstract:
We consider the problem of data clustering using a heterogeneous ensemble with the use of a co-association matrix. A probabilistic model is stated that takes into account the correlation of evaluation functions with the help of which relationships are found between the characteristics of the ensemble and the quality indicators of the final solution. An expression for the optimal weights of basic algorithms for which the upper bound on the clustering error probability estimate is minimal is found. An experimental study of the proposed method has been carried out showing the method to be advantageous over a number of similar methods.
Cite:
Berikov V.B.
Model and method for constructing a heterogeneous cluster ensemble
Automation and Remote Control. 2022. V.83. N12. P.1944-1958. DOI: 10.1134/S00051179220120086 WOS Scopus РИНЦ OpenAlex
Model and method for constructing a heterogeneous cluster ensemble
Automation and Remote Control. 2022. V.83. N12. P.1944-1958. DOI: 10.1134/S00051179220120086 WOS Scopus РИНЦ OpenAlex
Original:
Бериков В.Б.
МОДЕЛЬ И МЕТОД ПОСТРОЕНИЯ РАЗНОРОДНОГО КЛАСТЕРНОГО АНСАМБЛЯ
Автоматика и телемеханика. 2022. №12. С.89-107. DOI: 10.31857/S000523102212008X РИНЦ OpenAlex
МОДЕЛЬ И МЕТОД ПОСТРОЕНИЯ РАЗНОРОДНОГО КЛАСТЕРНОГО АНСАМБЛЯ
Автоматика и телемеханика. 2022. №12. С.89-107. DOI: 10.31857/S000523102212008X РИНЦ OpenAlex
Dates:
Submitted: | Feb 1, 2022 |
Accepted: | Jun 29, 2022 |
Published online: | Dec 31, 2022 |
Published print: | Mar 16, 2023 |
Identifiers:
Web of science: | WOS:000953758500008 |
Scopus: | 2-s2.0-85159757475 |
Elibrary: | 59626145 |
OpenAlex: | W4327641248 |
Citing:
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