This paper investigates ultrafilters in the context of connectivity systems, defined as pairs (X,
f) where X is a finite set and f is a symmetric submodular function. Ultrafilters, essential in …

Similarity matrix is of vital importance for graph-based multi-view clustering models, which
can depict the nonlinear structure information among samples. However, most existing …

In clustering process, fuzzy partition performs better than hard partition when the boundaries
between clusters are vague. Whereas, traditional fuzzy clustering algorithms produce less …

Electroencephalogram (EEG) signals are generated from central nervous system which are
difficult to disguise, leading to its popularity in emotion recognition. Recently, semi …

Due to the weak and nonstationary properties, electroencephalogram (EEG) data present
significant individual differences. To align data distributions of different subjects, transfer …

Though Electroencephalogram (EEG) could objectively reflect emotional states of our
human beings, its weak, non-stationary, and low signal-to-noise properties easily cause the …

Partitioning data into internally homogeneous parts is an important problem when mining in
situ engineering data. In this paper, a polynomial regression-based fuzzy c-means (PR …

This paper explains the idea of t-intuitionistic fuzzy graphs as a powerful way to analyze and
display relationships that are difficult to understand. The article also illustrates the ability of t …

Recently, anchor-based strategy is getting a lot of attention, which extends spectral
clustering to reveal the dual relation between samples and features. However, the …

A Fuzzy Graph extends classical graph theory by incorporating uncertainty, assigning a
membership degree to each edge. Tree-width [51, 52] is a fundamental measure that …