A Multiview Clustering Method with Low-Rank and Sparsity Constraints for Cancer Subtyping.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3122917
Abstract: Multiomics data clustering is one of the major challenges in the field of precision medicine. Integration of multiomics data for cancer subtyping can improve the understanding on cancer and reveal systems-level insights. How to integrate… read more here.
Keywords: multiomics data; multiview clustering; cancer subtyping; low rank ... See more keywords
Multigraph Random Walk for Joint Learning of Multiview Clustering and Semisupervised Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3109151
Abstract: Recent researches on multiview learning have received widespread attention due to the increasing generalization of multiview data. As an effective probabilistic model, random walk has also shown encouraging performance in various fields. To further exploit… read more here.
Keywords: semisupervised classification; multiview; clustering semisupervised; random walk ... See more keywords
Clustering Ensemble Based on Hybrid Multiview Clustering.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.3034157
Abstract: As an effective method for clustering applications, the clustering ensemble algorithm integrates different clustering solutions into a final one, thus improving the clustering efficiency. The key to designing the clustering ensemble algorithm is to improve… read more here.
Keywords: multiview; multiview clustering; clustering ensemble; method ... See more keywords
Multiview Clustering via Proximity Learning in Latent Representation Space.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3104846
Abstract: Most existing multiview clustering methods are based on the original feature space. However, the feature redundancy and noise in the original feature space limit their clustering performance. Aiming at addressing this problem, some multiview clustering… read more here.
Keywords: representation; multiview; proximity; multiview clustering ... See more keywords
Adversarial Multiview Clustering Networks With Adaptive Fusion.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3145048
Abstract: The existing deep multiview clustering (MVC) methods are mainly based on autoencoder networks, which seek common latent variables to reconstruct the original input of each view individually. However, due to the view-specific reconstruction loss, it… read more here.
Keywords: multiview; multiview clustering; adversarial multiview; adaptive fusion ... See more keywords
Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3173742
Abstract: Multiview clustering (MVC) seamlessly combines homogeneous information and allocates data samples into different communities, which has shown significant effectiveness for unsupervised tasks in recent years. However, some views of samples may be incomplete due to… read more here.
Keywords: multiview; prototype; incomplete multiview; prototype graph ... See more keywords
Augmented Sparse Representation for Incomplete Multiview Clustering.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3201699
Abstract: Incomplete multiview data are collected from multiple sources or characterized by multiple modalities, where the features of some samples or some views may be missing. Incomplete multiview clustering (IMVC) aims to partition the data into… read more here.
Keywords: sparse representation; multiview clustering; incomplete multiview; augmented sparse ... See more keywords
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3217032
Abstract: The existing multiview clustering models learn a consistent low-dimensional embedding either from multiple feature matrices or multiple similarity matrices, which ignores the interaction between the two procedures and limits the improvement of clustering performance on… read more here.
Keywords: bidirectional probabilistic; subspaces approximation; approximation; probabilistic subspaces ... See more keywords
Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3232538
Abstract: In real applications, it is often that the collected multiview data contain missing views. Most existing incomplete multiview clustering (IMVC) methods cannot fully utilize the underlying information of missing data or sufficiently explore the consistent… read more here.
Keywords: low rank; multiview; incomplete multiview; multiview clustering ... See more keywords
Efficient and Effective One-Step Multiview Clustering.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3253246
Abstract: Multiview clustering algorithms have attracted intensive attention and achieved superior performance in various fields recently. Despite the great success of multiview clustering methods in realistic applications, we observe that most of them are difficult to… read more here.
Keywords: efficient effective; step multiview; effective one; one step ... See more keywords
Incomplete Multiview Clustering via Low-Rank Tensor Ring Completion
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Intelligent Systems"
DOI: 10.1155/2023/7217818
Abstract: Since real-world multiview data frequently contains numerous samples that are not observed from some viewpoints, the incomplete multiview clustering (IMC) issue has received a great deal of attention recently. However, most existing IMC methods choose… read more here.
Keywords: tensor ring; tensor; low rank; incomplete multiview ... See more keywords