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

Theoretical Cybernetics Section

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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.

Original language	English
Title of host publication	Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	342-345
Number of pages	4
ISBN (Electronic)	9781538615966
DOIs	https://doi.org/10.1109/SIBIRCON.2017.8109902
Publication status	Published - 14 Nov 2017
Event	2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017 - Novosibirsk, Russian Federation Duration: 18 Sep 2017 → 22 Sep 2017

Conference

Conference	2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017
Country/Territory	Russian Federation
City	Novosibirsk
Period	18.09.2017 → 22.09.2017

Keywords

Centroid
Cluster ensemble
Hyperspectral image analysis
K-means

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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. In Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017 (pp. 342-345). [8109902] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON.2017.8109902

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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",

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

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

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

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Tatarnikov, V, Berikov Sobolev, V & Pestunov, I 2017, Cluster ensemble construction with the algorithm of averaged centroids. in Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017., 8109902, Institute of Electrical and Electronics Engineers Inc., pp. 342-345, 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017, Novosibirsk, Russian Federation, 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. p. 342-345 8109902.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

TY - GEN

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AU - Berikov Sobolev, V.

AU - Pestunov, I.

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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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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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