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Centroid averaging algorithm for a clustering ensemble. / Tatarnikov, Vadim Vladimirovich; Pestunov, Igor Alekseevich; Berikov, Vladimir Borisovich.

In: Computer Optics, Vol. 41, No. 5, 01.09.2017, p. 712-718.

Research output: Contribution to journal › Article › peer-review

Harvard

Tatarnikov, VV, Pestunov, IA & Berikov, VB 2017, 'Centroid averaging algorithm for a clustering ensemble', Computer Optics, vol. 41, no. 5, pp. 712-718. https://doi.org/10.18287/2412-6179-2017-41-5-712-718

APA

Tatarnikov, V. V., Pestunov, I. A., & Berikov, V. B. (2017). Centroid averaging algorithm for a clustering ensemble. Computer Optics, 41(5), 712-718. https://doi.org/10.18287/2412-6179-2017-41-5-712-718

Vancouver

Tatarnikov VV, Pestunov IA, Berikov VB. Centroid averaging algorithm for a clustering ensemble. Computer Optics. 2017 Sept 1;41(5):712-718. doi: 10.18287/2412-6179-2017-41-5-712-718

Author

Tatarnikov, Vadim Vladimirovich ; Pestunov, Igor Alekseevich ; Berikov, Vladimir Borisovich. / Centroid averaging algorithm for a clustering ensemble. In: Computer Optics. 2017 ; Vol. 41, No. 5. pp. 712-718.

BibTeX

@article{a1aa0a577d63447686c595ada6e6a841,
title = "Centroid averaging algorithm for a clustering ensemble",
abstract = "A collective approach to cluster analysis is considered in the paper. An algorithm of centroid averaging is proposed. The algorithm allows constructing the consensus partition of a dataset into clusters, using a set of partitions built with any centroid-based algorithm. We discuss results of applying the proposed algorithm to modeled data and for the segmentation of hyperspectral images with noise channels. Some details of implementation in a multithreaded environment that allows increasing the algorithm performance are given.",
keywords = "Centroid, Clustering ensemble, Hyperspectral image analysis, K-means",
author = "Tatarnikov, {Vadim Vladimirovich} and Pestunov, {Igor Alekseevich} and Berikov, {Vladimir Borisovich}",
year = "2017",
month = sep,
day = "1",
doi = "10.18287/2412-6179-2017-41-5-712-718",
language = "English",
volume = "41",
pages = "712--718",
journal = "Computer Optics",
issn = "0134-2452",
publisher = "Institution of Russian Academy of Sciences, Image Processing Systems Institute of RAS",
number = "5",

}

RIS

TY - JOUR

T1 - Centroid averaging algorithm for a clustering ensemble

AU - Tatarnikov, Vadim Vladimirovich

AU - Pestunov, Igor Alekseevich

AU - Berikov, Vladimir Borisovich

PY - 2017/9/1

Y1 - 2017/9/1

N2 - A collective approach to cluster analysis is considered in the paper. An algorithm of centroid averaging is proposed. The algorithm allows constructing the consensus partition of a dataset into clusters, using a set of partitions built with any centroid-based algorithm. We discuss results of applying the proposed algorithm to modeled data and for the segmentation of hyperspectral images with noise channels. Some details of implementation in a multithreaded environment that allows increasing the algorithm performance are given.

AB - A collective approach to cluster analysis is considered in the paper. An algorithm of centroid averaging is proposed. The algorithm allows constructing the consensus partition of a dataset into clusters, using a set of partitions built with any centroid-based algorithm. We discuss results of applying the proposed algorithm to modeled data and for the segmentation of hyperspectral images with noise channels. Some details of implementation in a multithreaded environment that allows increasing the algorithm performance are given.

KW - Centroid

KW - Clustering ensemble

KW - Hyperspectral image analysis

KW - K-means

UR - http://www.scopus.com/inward/record.url?scp=85037527477&partnerID=8YFLogxK

U2 - 10.18287/2412-6179-2017-41-5-712-718

DO - 10.18287/2412-6179-2017-41-5-712-718

M3 - Article

AN - SCOPUS:85037527477

VL - 41

SP - 712

EP - 718

JO - Computer Optics

JF - Computer Optics

SN - 0134-2452

IS - 5

ER -

ID: 9647067