Input feature selection by mutual information based on Parzen window |
| |
Authors: | Kwak N Chong-Ho Choi |
| |
Affiliation: | Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ.; |
| |
Abstract: | Mutual information is a good indicator of relevance between variables, and have been used as a measure in several feature selection algorithms. However, calculating the mutual information is difficult, and the performance of a feature selection algorithm depends on the accuracy of the mutual information. In this paper, we propose a new method of calculating mutual information between input and class variables based on the Parzen window, and we apply this to a feature selection algorithm for classification problems. |
| |
Keywords: | |
|
|