Name
Title | ||
|---|---|---|
Fusing absolute and relative information for augmenting the method of nearest neighbors for ordinal classification |
Abstract | ||
|---|---|---|
•Ordinal classification could benefit from the use of available relative information•The idea behind k nearest neighbors can be translated from absolute to relative information•Relative information can make up for the lack of absolute information•Increasing the amount of relative information improves the classification performance |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.inffus.2019.10.011 | Information Fusion |
Keywords | Field | DocType |
Information fusion,Absolute information,Relative information,Nearest neighbors,Ordinal classification | k-nearest neighbors algorithm,Existential quantification,Pattern recognition,Ordinal number,Artificial intelligence,Information fusion,Machine learning,Mathematics,Special case,Multiclass classification,Natural order | Journal |
Volume | ISSN | Citations |
56 | 1566-2535 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mengzi Tang | 1 | 0 | 0.34 |
| Raúl Pérez-Fernández | 2 | 38 | 13.47 |
| Bernard De Baets | 3 | 2994 | 300.39 |