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Consensus Guided Multi-View Clustering
ACM Transactions on Knowledge Discovery from Data, 2018In recent decades, tremendous emerging techniques thrive the artificial intelligence field due to the increasing collected data captured from multiple sensors. These multi-view data provide more rich information than traditional single-view data.
Hongfu Liu 0001, Yun Fu 0001
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Continual Multi-view Clustering
Proceedings of the 30th ACM International Conference on Multimedia, 2022Xinhang Wan +5 more
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Latent Multi-view Subspace Clustering
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017In this paper, we propose a novel Latent Multi-view Subspace Clustering (LMSC) method, which clusters data points with latent representation and simultaneously explores underlying complementary information from multiple views. Unlike most existing single view subspace clustering methods that reconstruct data points using original features, our method ...
Changqing Zhang 0002 +4 more
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The Multi-view Information Bottleneck Clustering
2007In this paper, we propose a new algorithm for information bottleneck method in multi-view setting where instances have multiple independent representations. By introducing the two important conditions, conditional independence and compatibility, into the information bottleneck clustering, the compatible constraint maximizing the agreement between ...
Yan Gao +3 more
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Projective Incomplete Multi-View Clustering
IEEE Transactions on Neural Networks and Learning SystemsDue to the rapid development of multimedia technology and sensor technology, multi-view clustering (MVC) has become a research hotspot in machine learning, data mining, and other fields and has been developed significantly in the past decades. Compared with single-view clustering, MVC improves clustering performance by exploiting complementary and ...
Shijie Deng +5 more
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Unified One-Step Multi-View Spectral Clustering
IEEE Transactions on Knowledge and Data Engineering, 2023Xinwang Liu, Chang Tang, Zhenglai Li
exaly
Feature concatenation multi-view subspace clustering
Neurocomputing, 2020Yaochen Li, Shanmin Pang, Jun Wang
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Multi-view clustering with dual tensors
Neural Computing and Applications, 2022Yong Mi +6 more
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