Name
Abstract | ||
|---|---|---|
•Kernel density-based particle swarm optimization algorithm is proposed.•Multi-dimensional gravitational learning factors of particles are introduced.•Gaussian kernel is employed to find for the densest region in a cluster.•New simple bandwidth estimation method of the kernel is presented.•A framework balancing the exploration and exploitation processes is proposed. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2017.08.050 | Expert Systems with Applications |
Keywords | Field | DocType |
Particle swarm optimization,Swarm intelligence,Universal gravity rule,Kernel density estimation,Exploitation and exploration balance,Data clustering | Data mining,Computer science,Dunn index,Artificial intelligence,Cluster analysis,Particle swarm optimization,k-medians clustering,Canopy clustering algorithm,Premature convergence,Correlation clustering,Algorithm,Constrained clustering,Machine learning | Journal |
Volume | Issue | ISSN |
91 | C | 0957-4174 |
Citations | PageRank | References |
18 | 0.52 | 36 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammed Azmi Al-Betar | 1 | 620 | 43.69 |
| Mohanad Albughdadi | 2 | 27 | 2.37 |
| Nor Ashidi Mat Isa | 3 | 763 | 45.79 |