The development of information gathering and extraction technology has led to the
popularity of multi-view data, which enables samples to be seen from numerous …

The similarity among samples and the discrepancy among clusters are two crucial aspects
of image clustering. However, current deep clustering methods suffer from inaccurate …

Multi-modal clustering (MMC) aims to explore complementary information from diverse
modalities for clustering performance facilitating. This article studies challenging problems in …

Varifocal multiview (VFMV) images are dense views that focus on variable focal planes.
Thus, VFMV images are highly redundant in the angular, spatial and focal dimensions. In …

Anchor graph has been recently proposed to accelerate multi-view graph clustering and
widely applied in various large-scale applications. Different from capturing full instance …

Multiview clustering (MVC) aims to partition data into different groups by taking full
advantage of the complementary information from multiple views. Most existing MVC …

Graph-based multi-view clustering method has attracted considerable attention in multi-
media data analyse community due to its good clustering performance and efficiency in …

Due to its high anti-counterfeiting and universality, the use of finger-vein pattern for identity
authentication has recently attracted extensive attention in academia and industry. Despite …

Multi-view subspace clustering has recently received great interest in the communities of
computer vision and pattern recognition, as it can overcome the limitation of conventional …

Multi-view clustering (MVC) has attracted broad attention due to its capacity to exploit
consistent and complementary information across views. This paper focuses on a …