Results 21 to 30 of about 86,218 (261)
Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning
IEEE Access, 2020 Spectral cluster based on multi-view data has proven effective for clustering multi-source real-world data because consensus and complementary information of multi-view data ensure the result of clustering.
Lijuan Wang, Shifei Ding
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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 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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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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From Ensemble Clustering to Multi-View Clustering [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Multi-View Clustering (MVC) aims to find the cluster structure shared by multiple views of a particular dataset. Existing MVC methods mainly integrate the raw data from different views, while ignoring the high-level information. Thus, their performance may degrade due to the conflict between heterogeneous features and the noises existing in each ...
Zhiqiang Tao +4 more
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Effective Incomplete Multi-View Clustering via Low-Rank Graph Tensor Completion
Mathematics, 2023 In the past decade, multi-view clustering has received a lot of attention due to the popularity of multi-view data. However, not all samples can be observed from every view due to some unavoidable factors, resulting in the incomplete multi-view ...
Jinshi Yu +4 more
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CMDC:an iterative algorithm for complementary multi-view document clustering
Tongxin xuebao, 2020 In response to the problems traditional multi-view document clustering methods separate the multi-view document representation from the clustering process and ignore the complementary characteristics of multi-view document clustering,an iterative ...
Ruizhang HUANG +5 more
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Subspace-Contrastive Multi-View Clustering
CoRR, 2022 Most multi-view clustering methods are limited by shallow models without sound nonlinear information perception capability, or fail to effectively exploit complementary information hidden in different views. To tackle these issues, we propose a novel Subspace-Contrastive Multi-View Clustering (SCMC) approach.
Lele Fu +5 more
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Incomplete Multi-view Clustering [PDF]
, 2016 Real data often consists of multiple views (or representations). By exploiting complementary and consensus grouping information of multiple views, multi-view clustering becomes a successful practice for boosting clustering accuracy in the past decades. Recently, researchers have begun paying attention to the problem of incomplete view.
Hang Gao, Yuxing Peng 0001, Songlei Jian
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Enhanced Multi-View Subspace Clustering via Twist Tensor Nuclear Norm and Constraint Propagation
IEEE Access, 2023 Multi-view subspace clustering (MVSC) can effectively group multi-view data distributed around several low-dimensional subspaces. Although encouraging results, most existing methods suffer from two typical limitations, resulting in clustering performance
Wei Yan +3 more
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