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Error-robust multi-view clustering [PDF]
2017 IEEE International Conference on Big Data (Big Data), 2017 In the era of big data, data may come from multiple sources, known as multi-view data. Multi-view clustering aims at generating better clusters by exploiting complementary and consistent information from multiple views rather than relying on the individual view. Due to inevitable system errors caused by data-captured sensors or others, the data in each
Najafi, Mehrnaz +2 more
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Multi-view Fuzzy Clustering Combining Visual and Hidden Information with Feature Weighting
Jisuanji kexue yu tansuo, 2021 Multi-view clustering is a type of multi-view learning method applied to unsupervised learning, which aims to use the feature set of different views to enhance the effect of clustering.
LIANG Ling, DENG Zhaohong, WANG Shitong
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Fusing Local and Global Information for One-Step Multi-View Subspace Clustering
Applied Sciences, 2022 Multi-view subspace clustering has drawn significant attention in the pattern recognition and machine learning research community. However, most of the existing multi-view subspace clustering methods are still limited in two aspects.
Yiqiang Duan +3 more
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Multi-View Multiple Clustering [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Multiple clustering aims at exploring alternative clusterings to organize the data into meaningful groups from different perspectives. Existing multiple clustering algorithms are designed for single-view data. We assume that the individuality and commonality of multi-view data can be leveraged to generate high-quality and diverse clusterings.
Yao, Shixing +4 more
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A Multi-View Clustering Algorithm for Mixed Numeric and Categorical Data
IEEE Access, 2021 Clustering data with both numeric and categorical attributes is of great importance as such data are ubiquitous in real-world problems. Multi-view learning approaches have proven to be more effective and having better generalisation ability compared to ...
Jinchao Ji +5 more
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Multi-View Ensemble Clustering Analysis Based on Joint Entropy [PDF]
Jisuanji gongcheng, 2023 Multi-view clustering analysis has become a research hotspot in machine learning and pattern recognition as a more comprehensive perspective, and the relevant and complementary information between various views are provided.
Xiaojie ZHAO, Xueying NIU, Jifu ZHANG
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Federated Multi-View Spectral Clustering
IEEE Access, 2020 Multi-view spectral clustering (MVSC) has become a popular approach to harvest knowledge about group information from multiple views of data, owned by different parties. A high quality MVSC approach usually requires collecting massive amount of data from
Hongtao Wang +4 more
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A Multi-View Co-Training Clustering Algorithm Based on Global and Local Structure Preserving
IEEE Access, 2021 Multi-view clustering which integrates the complementary information from different views for better clustering, is a fundamental and important topic in machine learning.
Weiling Cai, Honghan Zhou, Le Xu
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Multi-view constrained clustering with an incomplete mapping between views [PDF]
, 2012 Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, many applications provide only a partial mapping between the views, creating a
desJardins, Marie +2 more
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Multi-Modal 3D Shape Clustering with Dual Contrastive Learning
Applied Sciences, 2022 3D shape clustering is developing into an important research subject with the wide applications of 3D shapes in computer vision and multimedia fields. Since 3D shapes generally take on various modalities, how to comprehensively exploit the multi-modal ...
Guoting Lin +4 more
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