Name
Abstract | ||
|---|---|---|
•A novel dynamic density peaks clustering method called DPC-DBFN is proposed.•A fuzzy kernel is proposed to compute the local densities of the data points.•A graph-based label propagation strategy is used to identify backbones, border areas and noisy points.•DPC-DBFN can effectively assign true labels to border points located in overlapped regions.•The results on real-world, images and synthetic data show the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patcog.2020.107449 | Pattern Recognition |
Keywords | DocType | Volume |
Fuzzy kernel,Density peaks clustering,Noise detection,Label propagation | Journal | 107 |
Issue | ISSN | Citations |
1 | 0031-3203 | 4 |
PageRank | References | Authors |
0.40 | 32 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdulrahman Lotfi | 1 | 8 | 0.82 |
| Parham Moradi | 2 | 430 | 18.41 |
| Hamid Beigy | 3 | 690 | 48.38 |