An Approximation Algorithm for a Semi-supervised Graph Clustering Problem Full article
Conference |
Mathematical Optimization Theory and Operations Research 06-10 Jul 2020 , Новосибирск |
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Source | International Conference on Mathematical Optimization Theory and Operations Research
MOTOR 2020: Mathematical Optimization Theory and Operations Research Compilation, 2020. |
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Journal |
Communications in Computer and Information Science
ISSN: 1865-0929 |
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Output data | Year: 2020, Volume: 1275, Pages: 23-29 Pages count : 7 DOI: 10.1007/978-3-030-58657-7_3 | ||||
Tags | Graph clustering, Approximation algorithm, Perfomance guarantee | ||||
Authors |
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Affiliations |
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Cite:
Il'ev V.
, Morshinin A.
An Approximation Algorithm for a Semi-supervised Graph Clustering Problem
In compilation International Conference on Mathematical Optimization Theory and Operations Research MOTOR 2020: Mathematical Optimization Theory and Operations Research. 2020. – Т.1275. – C.23-29. DOI: 10.1007/978-3-030-58657-7_3 Scopus РИНЦ OpenAlex
An Approximation Algorithm for a Semi-supervised Graph Clustering Problem
In compilation International Conference on Mathematical Optimization Theory and Operations Research MOTOR 2020: Mathematical Optimization Theory and Operations Research. 2020. – Т.1275. – C.23-29. DOI: 10.1007/978-3-030-58657-7_3 Scopus РИНЦ OpenAlex
Identifiers:
Scopus: | 2-s2.0-85092103369 |
Elibrary: | 45245996 |
OpenAlex: | W3085319379 |
Citing:
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