The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …

In this paper, we propose an enhanced deep clustering network (EDCN), which is
composed of a Feature Extractor, a Conditional Generator, a Discriminator and a Siamese …

User-facing applications often experience excessive loads and are shifting towards the
microservice architecture. To fully utilize heterogeneous resources, current datacenters have …

Deep clustering has attracted increasingly more attention in recent years. However, due to
the absence of labels, deep clustering sometimes still provides unreliable clustering results …

This paper investigates the problem of treating embedding and clustering simultaneously to
uncover data structure reliably by constraining manifold embedding through clustering …

Density peaks clustering (DPC) is a promising algorithm due to straightforward and easy
implementation. However, most of its improvements still rely on expert, strong prior …

Engineering fault diagnosis often needs to be implemented without prior knowledge of
labels. Considering the randomness and drift of fault features, this paper proposes fusing …

Fault diagnosis is of great importance for the intelligent health management of mechanical
systems. For engineering applications, it is very difficult to collect and label vibration signals …

Incomplete multi-view clustering, which included missing data in different views, is more
challenging than multi-view clustering. For the purpose of eliminating the negative influence …

As graph technology is widely used in unsupervised dimensionality reduction, many
methods automatically construct a full connection graph to learn the structure of data, and …