Standard

Cluster Ensemble Kernel for Kernel-based Classification. / Odinokikh, Nikita; Berikov, Vladimir.

SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 670-674 8958184 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

Harvard

Odinokikh, N & Berikov, V 2019, Cluster Ensemble Kernel for Kernel-based Classification. in SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings., 8958184, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 670-674, 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019, Novosibirsk, Russian Federation, 21.10.2019. https://doi.org/10.1109/SIBIRCON48586.2019.8958184

APA

Odinokikh, N., & Berikov, V. (2019). Cluster Ensemble Kernel for Kernel-based Classification. In SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings (pp. 670-674). [8958184] (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON48586.2019.8958184

Vancouver

Odinokikh N, Berikov V. Cluster Ensemble Kernel for Kernel-based Classification. In SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 670-674. 8958184. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). doi: 10.1109/SIBIRCON48586.2019.8958184

Author

Odinokikh, Nikita ; Berikov, Vladimir. / Cluster Ensemble Kernel for Kernel-based Classification. SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 670-674 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

BibTeX

@inproceedings{d4ea239f745746ccb787503d34ccc77b,
title = "Cluster Ensemble Kernel for Kernel-based Classification",
abstract = "This paper presents a method for some semi-supervised and supervised classification problems based on properties of the averaged co-Association matrix obtained with a cluster ensemble. The ensemble clustering is performed as a preliminary step of data processing. The main property states that the matrix is a valid kernel matrix, thus it can be used in different classification methods that use kernels such as Kernel Nearest Neighbor, SVM, Kernel Fisher Discriminant. Some properties of the suggested method connected with its convergence to optimal classifier are studied. Numerical experiments show that the accuracy of the proposed algorithms is often higher than other state-of-The-Art methods, especially under the presence of complex data structures and noise distortions.",
keywords = "cluster ensemble, co-Association matrix, kernel-based classification",
author = "Nikita Odinokikh and Vladimir Berikov",
note = "Funding Information: ACKNOWLEDGMENT The work was partly supported by RFBR grants 18-07-00600 and 19-29-01175.; 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 ; Conference date: 21-10-2019 Through 27-10-2019",
year = "2019",
month = oct,
doi = "10.1109/SIBIRCON48586.2019.8958184",
language = "English",
series = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "670--674",
booktitle = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
address = "United States",

}

RIS

TY - GEN

T1 - Cluster Ensemble Kernel for Kernel-based Classification

AU - Odinokikh, Nikita

AU - Berikov, Vladimir

N1 - Funding Information: ACKNOWLEDGMENT The work was partly supported by RFBR grants 18-07-00600 and 19-29-01175.

PY - 2019/10

Y1 - 2019/10

N2 - This paper presents a method for some semi-supervised and supervised classification problems based on properties of the averaged co-Association matrix obtained with a cluster ensemble. The ensemble clustering is performed as a preliminary step of data processing. The main property states that the matrix is a valid kernel matrix, thus it can be used in different classification methods that use kernels such as Kernel Nearest Neighbor, SVM, Kernel Fisher Discriminant. Some properties of the suggested method connected with its convergence to optimal classifier are studied. Numerical experiments show that the accuracy of the proposed algorithms is often higher than other state-of-The-Art methods, especially under the presence of complex data structures and noise distortions.

AB - This paper presents a method for some semi-supervised and supervised classification problems based on properties of the averaged co-Association matrix obtained with a cluster ensemble. The ensemble clustering is performed as a preliminary step of data processing. The main property states that the matrix is a valid kernel matrix, thus it can be used in different classification methods that use kernels such as Kernel Nearest Neighbor, SVM, Kernel Fisher Discriminant. Some properties of the suggested method connected with its convergence to optimal classifier are studied. Numerical experiments show that the accuracy of the proposed algorithms is often higher than other state-of-The-Art methods, especially under the presence of complex data structures and noise distortions.

KW - cluster ensemble

KW - co-Association matrix

KW - kernel-based classification

UR - http://www.scopus.com/inward/record.url?scp=85079047330&partnerID=8YFLogxK

UR - https://elibrary.ru/item.asp?id=43237103

U2 - 10.1109/SIBIRCON48586.2019.8958184

DO - 10.1109/SIBIRCON48586.2019.8958184

M3 - Conference contribution

AN - SCOPUS:85079047330

T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

SP - 670

EP - 674

BT - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019

Y2 - 21 October 2019 through 27 October 2019

ER -

ID: 27889733