A novel reconstruction algorithm based on density clustering for cosmic-ray muon scattering inspection
Sign Up to like & getrecommendations! Published in 2021 at "Nuclear Engineering and Technology"
DOI: 10.1016/j.net.2021.01.014
Abstract: Abstract As a relatively new radiation imaging method, the cosmic-ray muon scattering imaging technology can be used to prevent nuclear smuggling and is of considerable significance to nuclear safety. Proposed in this paper is a… read more here.
Keywords: ray muon; inspection; density; density clustering ... See more keywords
Dynamic Density Clustering Ant Colony Algorithm With Filtering Recommendation Backtracking Mechanism
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3002817
Abstract: Ant colony system has a good performance in solving Traveling Salesman Problem (TSP), but it tends to fall into local optimum and is deficient in convergence speed. To address this problem, a dynamic density clustering… read more here.
Keywords: colony algorithm; density clustering; ant colony; algorithm ... See more keywords
Fast Density Clustering Algorithm for Numerical Data and Categorical Data
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Problems in Engineering"
DOI: 10.1155/2017/6393652
Abstract: Data objects with mixed numerical and categorical attributes are often dealt with in the real world. Most existing algorithms have limitations such as low clustering quality, cluster center determination difficulty, and initial parameter sensibility. A… read more here.
Keywords: density clustering; cluster centers; fast density; clustering algorithm ... See more keywords
Clustering with Missing Features: A Density-Based Approach
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14010060
Abstract: Density clustering has been widely used in many research disciplines to determine the structure of real-world datasets. Existing density clustering algorithms only work well on complete datasets. In real-world datasets, however, there may be missing… read more here.
Keywords: density; missing features; clustering missing; density clustering ... See more keywords