Name
Abstract | ||
|---|---|---|
The k-nearest neighbor (kNN) classifier is a classical classification algorithm that has been applied in many fields. However, the performance of the kNN classifier is limited by a simple neighbor selection method, called nearest neighbor (NN) rule, where only the neighborhood of the query is considered when selecting the nearest neighbors of the query. In other words, the NN rule only uses one-layer neighborhood information of the query. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.knosys.2021.107604 | Knowledge-Based Systems |
Keywords | DocType | Volume |
kNN classifier,Two-layer nearest neighbor rule,First-layer neighborhood,Second-layer neighborhood,Extended neighborhood | Journal | 235 |
ISSN | Citations | PageRank |
0950-7051 | 1 | 0.38 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yikun Wang | 1 | 1 | 0.38 |
| Zhibin Pan | 2 | 1 | 0.72 |
| Jing Dong | 3 | 354 | 30.86 |