Clustering incomplete instance is still a challenging task since missing values maybe make
the cluster information ambiguous, leading to the uncertainty and imprecision in results. This …

Multi-view clustering has attracted substantial attention thanks to its ability to integrate
information from diverse views. However, the existing methods can only generate hard or …

This research aims to reduce social media security risks and develop best practices to help
governments address social media security risks more effectively. This research begins by …

The propagation of rumours on social media poses an important threat to societies, so that
various techniques for graph-based rumour detection have been proposed recently. Existing …

Multi-View clustering has attracted broad attention due to its capacity to utilize consistent
and complementary information among views. Although tremendous progress has been …

With the development of graph convolutional network (GCN), which is powerful in graph
embedding learning meanwhile can capture node feature information, deep multi-view …

Many unsupervised multi-view representation learning (MRL) techniques have been
devised as multi-view data becomes more common in real-world applications. However …

Multi-view subspace clustering (MVSC) has drawn significant attention in recent study. In
this paper, we propose a novel approach to MVSC. First, the new method is capable of …

In recent years anchor-based methods have achieved promising progress in multi-view
clustering. The performances of these methods are significantly affected by the quality of the …

Due to its effectiveness and efficiency, anchor based multi-view clustering (MVC) has
recently attracted much attention. Most existing approaches try to adaptively learn anchors to …