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2020 | OriginalPaper | Chapter

Clustering Ensemble Selection with Analytic Hierarchy Process

Authors : Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou

Published in: Neural Information Processing

Publisher: Springer International Publishing

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Abstract

Existing clustering ensemble selection methods adopt internal and external evaluation indexes to measure the quality and diversity of base clusterings. The significance of base clustering is quantified by the average or weighted average of multiple evaluation indexes. However, there exist two limitations in these methods. First, the evaluation of base clusterings in the form of linear combination of multiple indexes lacks the structural analysis and relative comparison between clusterings and measures. Second, the consistency between the final evaluation and the multiple evaluations from different measures cannot be guaranteed. To tackle these problems, we propose a clustering ensemble selection method with Analytic Hierarchy Process (AHPCES). Experimental results validate the effectiveness of the proposed method.

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Metadata
Title
Clustering Ensemble Selection with Analytic Hierarchy Process
Authors
Wei Liu
Xiaodong Yue
Caiming Zhong
Jie Zhou
Copyright Year
2020
Book
Neural Information Processing

Print ISBN: 978-3-030-63819-1

Electronic ISBN: 978-3-030-63820-7

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-63820-7_5

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