Neural gas based cluster ensemble algorithm and its application to cancer data

Zhiwen Yu; Jia You; Guihua Wen

doi:10.1109/ICMLC.2011.6016705

Neural gas based cluster ensemble algorithm and its application to cancer data

Zhiwen Yu, Jia You, Guihua Wen

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

The cluster ensemble approach is gaining more and more attention in recent years due to its useful applications in bioinformatics and pattern recognition. In this paper, we present a new cluster ensemble approach named as the neural gas based cluster ensemble algorithm (NGCEA) for class discovery from biological meaningful data, NGCEA first adopts the perturbed function to generate a set of new datasets. Then, it proposes to adopt the neural gas algorithm to obtain the clustering solutions from the perturbed datasets, In the following, NGCEA views the row of each clustering solution as the new features, and forms a new dataset. Finally, it adopts the neural gas algorithm as consensus function to perform clustering again on the new dataset and obtains the final result. The experiments in cancer datasets show that (i)NGCEA works well on most of cancer datasets (ii) NGCEA outperforms most of the state-of-the-art cluster ensemble algorithms when applied to gene expression data

Original language	English
Title of host publication	Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
Pages	15-20
Number of pages	6
Volume	1
DOIs	https://doi.org/10.1109/ICMLC.2011.6016705
Publication status	Published - 7 Nov 2011
Event	2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011 - Guilin, Guangxi, China Duration: 10 Jul 2011 → 13 Jul 2011

Conference

Conference	2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
Country/Territory	China
City	Guilin, Guangxi
Period	10/07/11 → 13/07/11

Keywords

Cancer data
Class discovery
Cluster ensemble

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics
Computer Networks and Communications
Human-Computer Interaction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICMLC.2011.6016705

Cite this

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Yu, Z, You, J & Wen, G 2011, Neural gas based cluster ensemble algorithm and its application to cancer data. in Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011. vol. 1, 6016705, pp. 15-20, 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011, Guilin, Guangxi, China, 10/07/11. https://doi.org/10.1109/ICMLC.2011.6016705

Neural gas based cluster ensemble algorithm and its application to cancer data. / Yu, Zhiwen; You, Jia; Wen, Guihua.
Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011. Vol. 1 2011. p. 15-20 6016705.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Neural gas based cluster ensemble algorithm and its application to cancer data

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

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