Name
Title | ||
|---|---|---|
Adaptive core fusion-based density peak clustering for complex data with arbitrary shapes and densities. |
Abstract | ||
|---|---|---|
•An adaptive clustering based on density peaks and core fusion is proposed for clustering complex data.•Core points are found efficiently and adaptively based on the density distribution of data points without setting density thresholds.•A within-cluster similarity-based fusion strategy is proposed to guarantee meaningful clustering.•The high performance of ACDPCF is verified on several benchmark complex datasets with diverse shapes and densities. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patcog.2020.107452 | Pattern Recognition |
Keywords | DocType | Volume |
Clustering,Density peak,Core fusion,Arbitrary shape,Arbitrary density | Journal | 107 |
Issue | ISSN | Citations |
1 | 0031-3203 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fang Fang | 1 | 4 | 1.09 |
| Lei Qiu | 2 | 44 | 10.23 |
| Shenfang Yuan | 3 | 76 | 12.49 |