Frontiers

Spectral Clustering Algorithm for Cognitive Diagnostic Assessment

In cognitive diagnostic assessment (CDA), clustering analysis is an efficient approach to classify examinees into attribute-homogeneous groups. Many researchers have proposed different methods, such ...
Frontiers

Efficient vegetation filtering method using K-means clustering algorithm: case study of high steep rock slope

Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...
IEEE

Density Peaks Clustering Algorithm Based on Neighborhood Radius and Membership Degree

Abstract: The density peaks clustering (DPC) algorithm is a density-based clustering method that effectively identifies clusters with uniform densities. However, if the datasets have uneven density, ...
IEEE

Optimisation Research on K-Means Clustering Algorithm Based on Principal Component Analysis and Percentile Improvement

Abstract: The traditional K-means algorithm often leads to unstable clustering quality due to the randomness of the initial clustering center selection and tends to fall into suboptimal solutions when ...
C&EN

CADENCE: Clustering Algorithm─Density-Based Exploration and Novelty Clustering with Efficiency

Department of Chemistry, University of Florida, Gainesville, Florida 32611, United States Quantum Theory Project, University of Florida, Gainesville, Florida 32611, United States ...