Multi-view Clustering with Latent Low-rank Proxy Graph Learning
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09889-8
Abstract: With advances in information acquisition technologies, multi-view data are increasing dramatically in a variety of real-world applications, whereas such data is usually corrupted by noises and outliers. Many existing multi-view graph clustering (MVGC) methods usually… read more here.
Keywords: low rank; multi view; proxy; view ... See more keywords
Multi-View Maximum Entropy Clustering by Jointly Leveraging Inter-View Collaborations and Intra-View-Weighted Attributes
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2825352
Abstract: As a dedicated countermeasure for heterogeneous multi-view data, multi-view clustering is currently a hot topic in machine learning. However, many existing methods either neglect the effective collaborations among views during clustering or do not distinguish… read more here.
Keywords: entropy clustering; maximum entropy; view; multi view ... See more keywords
Multi-View Clustering Based on Multiple Manifold Regularized Non-Negative Sparse Matrix Factorization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3216705
Abstract: Clustering of multi-view data has got broad consideration of the researchers. Multi-view data is composed through different domain which shows the consistent and complementary behavior. The existing studies did not draw attention of over-fitting and… read more here.
Keywords: view data; matrix; view; non negative ... See more keywords
Unsupervised Multi-View K-Means Clustering Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3243133
Abstract: Since advanced technologies via social media, internet, virtual communities and networks and internet of things (IoT), there are more multi-view data to be collected. Multi-view clustering is a substantial tool as a natural design for… read more here.
Keywords: view data; view; clustering algorithm; unsupervised multi ... See more keywords
Incomplete Multi-view Data Learning via Adaptive Embedding and Partial l2,1 Norm Constraints for Parkinson's Disease Diagnosis.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2025.3576786
Abstract: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by mental abnormalities and motor dysfunction. Its early classification and prediction of clinical scores have been major concerns for researchers. Currently, multi-view data learning has become… read more here.
Keywords: view; view data; partial norm; incomplete multi ... See more keywords
Federated Multi-View K-Means Clustering
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2024.3520708
Abstract: The increasing effect of Internet of Things (IoT) unlocks the massive volume of the availability of Big Data in many fields. Generally, these Big Data may be in a non-independently and identically distributed fashion (non-IID).… read more here.
Keywords: view; view data; federated multi; view means ... See more keywords