Consistency of multiple kernel clustering
Consistency plays an important role in learning theory. However, in multiple kernel
clustering (MKC), the consistency of kernel weights has not been sufficiently investigated. In …
clustering (MKC), the consistency of kernel weights has not been sufficiently investigated. In …
Eigenvalue Ratio Inspired Partition Learning and Fusion for Multiple Kernel Clustering
Multiple kernel clustering (MKC) aims to extract and integrate the clustering information from
a set of pre-defined kernels for handling data which cannot be linearly separated well. More …
a set of pre-defined kernels for handling data which cannot be linearly separated well. More …
On the Consistency and Large-Scale Extension of Multiple Kernel Clustering
Existing multiple kernel clustering (MKC) algorithms have two ubiquitous problems. From the
theoretical perspective, most MKC algorithms lack sufficient theoretical analysis, especially …
theoretical perspective, most MKC algorithms lack sufficient theoretical analysis, especially …
Self-Weighted Euler -means Clustering
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 …
warmly welcomed by the researchers due to its efficiency and simplicity. Nevertheless, it fails …
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 …
fusion techniques. However, existing late fusion-based MVC (LFMVC) approaches often …
One-Step Late Fusion Multi-View Clustering with Compressed Subspace
Late fusion multi-view clustering (LFMVC) has become a rapidly growing class of methods in
the multi-view clustering (MVC) field, owing to its excellent computational speed and …
the multi-view clustering (MVC) field, owing to its excellent computational speed and …