Feature selection based on joint mutual information
| Author(s) : | John Moody Howard Hua Yang, |
| Publisher : | N/A |
| Publication Date : | 1999 |
| ISSN : | N/A |
| Abstract : | A feature/input selection method is proposed based on joint mutual information. The new method is better than the existing methods based on mutual information in eliminating redundancy in the inputs. It is applied in a real world application to find 2-D viewing coordinates for data visualization and to select inputs for a neural network classifier. The result shows that the new method can find many good 2-D projections which cannot be found by the existing methods., |