Dual Representation Learning for One-Step Clustering of Multi-View Data

In real-world applications, multi-view data is widely available. Multi-view data refers to data collected from multiple sources or through multiple representations, such as different language versions of the same news story or disease data obtained through different medical tests. Multi-view learning is an effective method for mining multi-view dat...

Leveraging Graph Convolutional Networks for Semi-Supervised Learning in Multi-View Non-Graph Data

Background Introduction In the field of machine learning, Semi-Supervised Learning (SSL) has garnered significant attention due to its ability to leverage a small amount of labeled data and a large amount of unlabeled data for learning. Particularly in scenarios where data labeling is costly, graph-based semi-supervised learning methods have become...