Name
Abstract | ||
|---|---|---|
This paper presents an algorithm which learns a distance metric from a data set by knowledge embedding and uses the new distance metric to solve nonlinear pattern recognition problems such a clustering. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/S0031-3203(03)00218-8 | Pattern Recognition |
Keywords | Field | DocType |
Distance metric learning,Knowledge embedding,Clustering | Hierarchical clustering,k-medians clustering,Earth mover's distance,Metric k-center,Pattern recognition,Metric (mathematics),Hausdorff distance,Artificial intelligence,Distance matrix,String metric,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
37 | 1 | 0031-3203 |
Citations | PageRank | References |
6 | 0.51 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yungang Zhang | 1 | 87 | 10.05 |
| Changshui Zhang | 2 | 5506 | 323.40 |
| David Zhang | 3 | 7365 | 360.85 |