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Combinations of thegreedy heuristicmethod for clusteringproblems and localsearch algorithms Kazakovtsev L.Antamoshkin A.2016 год

Combinations of the greedy heuristic method for clustering problems and local search algorithms : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: РИНЦ · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Combinations of the greedy heuristic method for clustering problems and local search algorithms : доклад, тезисы доклада / L. Kazakovtsev, A. Antamoshkin. - Текст : непосредственный // CEUR Workshop Proceedings : 9th / 9th International Conference on Discrete Optimization and Operations Research, DOOR 2016 (2016 ; 19.09 - 23.09 ; Vladivostok). - 2016. - 1623. - P. 440-452.
Аннотация: In this paper, we investigate application of various options of algorithms with greedy agglomerative heuristic procedure for object clustering problems in continuous space in combination with various local search methods. We propose new modifications of the greedy agglomerative heuristic algorithms with local search in SWAP neighborhood for the p-medoid problems and j-means procedure for continuous clustering problems (p-median and k-means). New modifications of algorithms were applied to clustering problems in both continuous and discrete settings. Computational results with classical data sets and real data show the comparative efficiency of new algorithms for middle-size problems only.
Год издания: 2016
Авторы: Kazakovtsev L. , Antamoshkin A.
Источник: CEUR Workshop Proceedings
Выпуск: 1623
Мероприятие: International Conference on Discrete Optimization and Operations Research, DOOR 2016 (Vladivostok, 2016 ; 19.09 - 23.09)
Номера страниц: 440-452
Держатель оригинала документа: Siberian Federal University, Siberian State Aerospace University Named after Academician M.F. Reshetnev
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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