Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30220
Title: A Survey and an Empirical Evaluation of Multi-view Clustering Approaches
Authors: Zhou, L
Du, G
Lü, K
Wang, L
Du, J
Keywords: multi-view clustering;consensus and complementary principles;information fusion;weighting;clustering routine
Issue Date: 1-Apr-2024
Publisher: Association for Computing Machinery (ACM)
Citation: 10.1145/3645108, L. et al. (2024) 'A Survey and an Empirical Evaluation of Multi-view Clustering Approaches', ACM Computing Surveys, 56 (`7), pp. 1 - 38. doi: 10.1145/3645108.
Abstract: Multi-view clustering (MVC) holds a significant role in domains like machine learning, data mining, and pattern recognition. Despite the development of numerous new MVC approaches employing various techniques, there remains a gap in comprehensive studies evaluating the characteristics and performance of these approaches. This gap hinders the in-depth understanding and rational utilization of the recently developed MVC techniques. This study formalizes the basic concepts of MVC and analyzes their techniques. It then introduces a novel taxonomy for MVC approaches and presents the working mechanisms and characteristics of representative MVC approaches developed in recent years. Moreover, it summarizes representative datasets and performance metrics commonly employed for evaluating MVC approaches. Furthermore, we have meticulously chosen 35 representative MVC approaches to conduct an empirical evaluation across seven real-world benchmark datasets, offering valuable insights into the realm of MVC approaches.
Description: Supplementary Material is available online at: https://dl.acm.org/doi/10.1145/3645108#supplementary-materials .
Code is availailable online at: https://github.com/dugzzuli/A-Survey-of-Multi-view-Clustering-Approaches .
URI: https://bura.brunel.ac.uk/handle/2438/30220
DOI: https://doi.org/10.1145/3645108
ISSN: 0360-0300
Other Identifiers: ORCiD: Lihua 10.1145/3645108 https://orcid.org/0000-0002-8940-1155
ORCiD: Guowang Du https://orcid.org/0000-0002-8109-7152
ORCiD: Kevin Lü https://orcid.org/0000-0002-2588-9059
ORCiD: Lizheng Wang https://orcid.org/0000-0003-2214-2299
ORCiD: Jingwei Du https://orcid.org/0009-0001-6774-1685
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Appears in Collections:Brunel Business School Research Papers

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