Projects per year
Abstract
Nowadays, one-step multi-view clustering algorithms attract many interests. The main issue of multi-view clustering approaches is how to combine the information extracted from the available views. A popular approach is to use view-based graphs and/or a consensus graph to describe the different views. We introduce a novel one-step graph-based multi-view clustering approach in this study. Our suggested method, in contrast to existing graph-based one-step clustering methods, provides two major novelties to the method called Nonnegative Embedding and Spectral Embedding (NESE) proposed in the recent paper [1]. To begin, we use the cluster label correlation to create an additional graph in addition to the graphs associated with the data space. Second, the cluster-label matrix is constrained by adopting some restrictions to make it more consistent. The effectiveness of the proposed method is demonstrated by experimental results on many public datasets.
Original language | English |
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Title of host publication | Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings |
Editors | Stan Sclaroff, Cosimo Distante, Marco Leo, Giovanni M. Farinella, Federico Tombari |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 109-120 |
Number of pages | 12 |
ISBN (Print) | 9783031064326 |
DOIs | |
Publication status | Published - 2022 |
Event | 21st International Conference on Image Analysis and Processing, ICIAP 2022 - Lecce, Italy Duration: 23 May 2022 → 27 May 2022 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13233 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 21st International Conference on Image Analysis and Processing, ICIAP 2022 |
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Country/Territory | Italy |
City | Lecce |
Period | 23/05/22 → 27/05/22 |
Keywords
- Cluster label space
- Graph construction
- Multi-view clustering
- Similarity graph
- Spectral projection matrix
Projects
- 1 Finished
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SusDens: Sustainable Residential Densification
Omrani, H., Teller, J., Gorczynska-Angiulli, M., Gerber, P., Skoczylas, K., Zieba-Kulawik, K. & El Hajjar, S.
Luxembourg National Research Fund (FNR), Luxembourg Institute of Socio-Economic Research (LISER)
1/03/20 → 29/02/24
Project: Research