The concept of three-way decision, interpreted and described as thinking, problem solving,
and information processing in “threes”, has been widely studied and applied in machine …

As power systems evolve by integrating renewable energy sources, distributed generation,
and electric vehicles, the complexity of managing these systems increases. With the …

Computational intelligence is increasingly applied to complex decision-making challenges,
leveraging its data analysis prowess. Hybrid human-artificial intelligence models enhance …

To address the difficulty of determining a clear-cut boundary of a cluster, three-way
clustering methods search for a new type of cluster structure characterized by a pair of a …

Clustering, as an unsupervised data mining technique, allows us to classify similar objects
into the same cluster according to certain criteria. It helps us identify patterns between …

Abstract Density Peaks Clustering (DPC) is a classic density-based clustering algorithm that
has been successfully applied in various areas. However, it assigns samples based on their …

Featured Application Stream-DBSCAN algorithm is suitable for processing complex high-
dimensional water quality data and can guide water quality detection more scientifically and …

Clustering can be divided into five categories: partitioning, hierarchical, model-based,
density-based, and grid-based algorithms. Among them, grid-based clustering is highly …

A bunch of stream clustering algorithms have been proposed recently to mine data streams
generated at high speeds from hardware platforms and software applications. Density …

In the context of addressing clustering problems with small samples, grey relational
clustering (GRC) plays a crucial role. Currently, a three-way GRC has gained popularity …