A unified framework for discrete multi-kernel k-means with Kernel diversity regularization

Multi-View Dynamic Kernelized Evidential Clustering

J Xu, Z Zhang, Z Lin, Y Chen… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
It is challenging to cluster multi-view data in which the clusters have overlapping areas.
Existing multi-view clustering methods often misclassify the indistinguishable objects in …
相关文章 所有 3 个版本

Self-Weighted Euler -means Clustering

H Xin, Y Lu, H Tang, R Wang… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
Clustering is used widely in various kinds of signal processing tasks, in which-means is
warmly welcomed by the researchers due to its efficiency and simplicity. Nevertheless, it fails …
被引用次数：3 相关文章 所有 2 个版本

Heat Kernel Diffusion for Enhanced Late Fusion Multi-view Clustering

G Yang, J Zou, Y Chen, L Du… - IEEE Signal Processing …, 2024 - ieeexplore.ieee.org
Recent advancements in Multi-view Clustering (MVC) have highlighted the benefits of late
fusion techniques. However, existing late fusion-based MVC (LFMVC) approaches often …
相关文章 所有 2 个版本