Name
Abstract | ||
|---|---|---|
Clustering is a classical unsupervised learning task that aims to reveal data similarity patterns. Numerous algorithms have been proposed to address this task from different aspects. In the field of swarm intelligence and evolutionary algorithms, most existing algorithms strive to identify a set of cluster centers. However, it is difficult for centroid-based algorithms to process data with cluster... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TETCI.2019.2961190 | IEEE Transactions on Emerging Topics in Computational Intelligence |
Keywords | DocType | Volume |
Clustering algorithms,Particle swarm optimization,Time complexity,Computational modeling,Optics,Shape,Genetic algorithms | Journal | 5 |
Issue | ISSN | Citations |
3 | 2471-285X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenjian Luo | 1 | 356 | 40.95 |
| Wenjie Zhu | 2 | 3 | 1.40 |
| Li Ni | 3 | 8 | 4.18 |
| Yingying Qiao | 4 | 1 | 2.71 |
| Yigui Yuan | 5 | 0 | 0.34 |