Name
Abstract | ||
|---|---|---|
In this paper we propose a new dichotomic linear discrimination algorithm based on a criterion recursively defined from the min and max functions. This criterion allows us, using a gradient algorithm, to find two hyperplanes which split two classes in an optimal way. We give two examples of the possibilities of the method. |
Year | DOI | Venue |
|---|---|---|
1989 | 10.1016/0167-8655(89)90030-5 | Pattern Recognition Letters |
Keywords | Field | DocType |
min-max approach,linear discrimination,gradient algorithm,classes linear discrimination,min and max function | Pattern recognition,Artificial intelligence,Hyperplane,Linear discriminant analysis,Mathematics,Recursion | Journal |
Volume | Issue | ISSN |
10 | 5 | Pattern Recognition Letters |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| philippe castagliola | 1 | 6 | 1.98 |
| B. Dubuisson | 2 | 18 | 13.77 |