A Survey and an Empirical Evaluation of Multi-view Clustering Approaches
L Zhou, G Du, K Lü, L Wang, J Du - ACM Computing Surveys, 2024 - dl.acm.org
Multi-view clustering (MVC) holds a significant role in domains like machine learning, data
mining, and pattern recognition. Despite the development of numerous new MVC …
mining, and pattern recognition. Despite the development of numerous new MVC …
Mutual information-driven multi-view clustering
In deep multi-view clustering, three intractable problems are posed ahead of researchers,
namely, the complementarity exploration problem, the information preservation problem …
namely, the complementarity exploration problem, the information preservation problem …
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
Unsupervised graph representation learning (UGRL) based on graph neural networks
(GNNs), has received increasing attention owing to its efficacy in handling graph-structured …
(GNNs), has received increasing attention owing to its efficacy in handling graph-structured …
Towards Few-Label Vertical Federated Learning
Federated Learning (FL) provided a novel paradigm for privacy-preserving machine
learning, enabling multiple clients to collaborate on model training without sharing private …
learning, enabling multiple clients to collaborate on model training without sharing private …