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One-step Multi-view Clustering Based on Diversity and Consistency [PDF]
Jisuanji gongchengWith the development of data collection technology, multi-view data have become increasingly common. Compared to single-view data, multi-view data contain richer information, which is usually characterized by consistency and diversity information.
HU Aoran, CHEN Xiaohong
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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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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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Feature concatenation multi-view subspace clustering [PDF]
Neurocomputing, 2020 Multi-view clustering is a learning paradigm based on multi-view data. Since statistic properties of different views are diverse, even incompatible, few approaches implement multi-view clustering based on the concatenated features straightforward. However, feature concatenation is a natural way to combine multi-view data.
Qinghai Zheng +5 more
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Localized Sparse Incomplete Multi-View Clustering
IEEE Transactions on Multimedia, 2023 Published in IEEE Transactions on Multimedia (TMM).
Chengliang Liu +4 more
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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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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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Deep Incomplete Multi-view Multiple Clusterings [PDF]
2020 IEEE International Conference on Data Mining (ICDM), 2020 Multi-view clustering aims at exploiting information from multiple heterogeneous views to promote clustering. Most previous works search for only one optimal clustering based on the predefined clustering criterion, but devising such a criterion that captures what users need is difficult.
Wei, Shaowei +4 more
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Kernel-Induced Incomplete Multi-view Clustering
Jisuanji kexue yu tansuo, 2021 With the development of technology, data often have multiple forms which come from multiple sources. The multi-view clustering algorithm aims to use the complementary information existing in different sources for clustering.
ZHANG Wei, DENG Zhaohong, WANG Shitong
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Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples [PDF]
, 2019 Laser-generated ultrasound is a modern non-destructive testing technique. It has been investigated over recent years as an alternative to classical ultrasonic methods, mainly in industrial maintenance and quality control procedures.
Cojocaru, Crina +4 more
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