View-Consistency Learning for Incomplete Multiview Clustering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3187562
Abstract: In this article, we present a novel general framework for incomplete multi-view clustering by integrating graph learning and spectral clustering. In our model, a tensor low-rank constraint are introduced to learn a stable low-dimensional representation,… read more here.
Keywords: consistency; view; consistency learning; incomplete multiview ... See more keywords
Intrinsic and Complete Structure Learning Based Incomplete Multiview Clustering
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3138638
Abstract: In the real-world, some views of samples are often missing for the collected multiview data. Faced with the incomplete multiview data, most of the existing clustering methods tended to learn a common graph from the… read more here.
Keywords: complete structure; structure; structure learning; multiview ... 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
Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3201562
Abstract: Despite incomplete multiview clustering (IMC) being widely studied in the past decade, it is still difficult to model the correlation among multiple views due to the absence of partial views. Most existing works for IMC… read more here.
Keywords: graph completion; representation learning; representation; 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
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
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