Cluster ensemble construction with the algorithm of averaged centroids

V. Tatarnikov; V. Berikov Sobolev; I. Pestunov

doi:10.1109/SIBIRCON.2017.8109902

Cluster ensemble construction with the algorithm of averaged centroids

V. Tatarnikov, V. Berikov Sobolev, I. Pestunov

Кафедра теоретической кибернетики ММФ

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

Аннотация

The task of finding consensus solution of cluster analysis problem is considered in the paper. A heuristic algorithm for constructing consensus clustering partition using any centroid-based algorithm is proposed. It is theoretically proved that the algorithm is statistically stable. The novelty of the algorithm is that it is implemented and optimized for running in parallel and distributed environment. The paper includes the results of testing the algorithm on artificial and real data.

Язык оригинала	английский
Название основной публикации	Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017
Издатель	Institute of Electrical and Electronics Engineers Inc.
Страницы	342-345
Число страниц	4
ISBN (электронное издание)	9781538615966
DOI	https://doi.org/10.1109/SIBIRCON.2017.8109902
Состояние	Опубликовано - 14 ноя 2017
Событие	2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017 - Novosibirsk, Российская Федерация Продолжительность: 18 сен 2017 → 22 сен 2017

Конференция

Конференция	2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017
Страна	Российская Федерация
Город	Novosibirsk
Период	18.09.2017 → 22.09.2017

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10.1109/SIBIRCON.2017.8109902

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Tatarnikov, V., Berikov Sobolev, V., & Pestunov, I. (2017). Cluster ensemble construction with the algorithm of averaged centroids. В Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017 (стр. 342-345). [8109902] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON.2017.8109902

@inproceedings{631216c855674b7e8a83a020983a548e,

title = "Cluster ensemble construction with the algorithm of averaged centroids",

abstract = "The task of finding consensus solution of cluster analysis problem is considered in the paper. A heuristic algorithm for constructing consensus clustering partition using any centroid-based algorithm is proposed. It is theoretically proved that the algorithm is statistically stable. The novelty of the algorithm is that it is implemented and optimized for running in parallel and distributed environment. The paper includes the results of testing the algorithm on artificial and real data.",

keywords = "Centroid, Cluster ensemble, Hyperspectral image analysis, K-means",

author = "V. Tatarnikov and {Berikov Sobolev}, V. and I. Pestunov",

year = "2017",

month = nov,

day = "14",

doi = "10.1109/SIBIRCON.2017.8109902",

language = "English",

pages = "342--345",

booktitle = "Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017 ; Conference date: 18-09-2017 Through 22-09-2017",

}

Tatarnikov, V, Berikov Sobolev, V & Pestunov, I 2017, Cluster ensemble construction with the algorithm of averaged centroids. в Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017., 8109902, Institute of Electrical and Electronics Engineers Inc., стр. 342-345, 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017, Novosibirsk, Российская Федерация, 18.09.2017. https://doi.org/10.1109/SIBIRCON.2017.8109902

Cluster ensemble construction with the algorithm of averaged centroids. / Tatarnikov, V.; Berikov Sobolev, V.; Pestunov, I.

Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., 2017. стр. 342-345 8109902.

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

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T1 - Cluster ensemble construction with the algorithm of averaged centroids

AU - Tatarnikov, V.

AU - Berikov Sobolev, V.

AU - Pestunov, I.

PY - 2017/11/14

Y1 - 2017/11/14

N2 - The task of finding consensus solution of cluster analysis problem is considered in the paper. A heuristic algorithm for constructing consensus clustering partition using any centroid-based algorithm is proposed. It is theoretically proved that the algorithm is statistically stable. The novelty of the algorithm is that it is implemented and optimized for running in parallel and distributed environment. The paper includes the results of testing the algorithm on artificial and real data.

AB - The task of finding consensus solution of cluster analysis problem is considered in the paper. A heuristic algorithm for constructing consensus clustering partition using any centroid-based algorithm is proposed. It is theoretically proved that the algorithm is statistically stable. The novelty of the algorithm is that it is implemented and optimized for running in parallel and distributed environment. The paper includes the results of testing the algorithm on artificial and real data.

KW - Centroid

KW - Cluster ensemble

KW - Hyperspectral image analysis

KW - K-means

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U2 - 10.1109/SIBIRCON.2017.8109902

DO - 10.1109/SIBIRCON.2017.8109902

M3 - Conference contribution

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BT - Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017

Y2 - 18 September 2017 through 22 September 2017

ER -

Cluster ensemble construction with the algorithm of averaged centroids

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