IDENTIFICATION OF RELEVANT SIGNAL FEATURES |
|---|
| Wojciech Cholewa |
- Abstract:
- The paper deals with design of diagnostic classifiers. The main goal is to illustrate an original way of identification of useful signal features on the basis of learning data prepared as a set of examples. One indicated some possibilities of application of a criterion based on the expectation that results of unsupervised clustering in a new limited space should be compatible with results of classification of learning data.
- Keywords:
- diagnostic classifier, feature selection
- Download:
- IMEKO-TC10-2005-01.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC10
- Event name:
- TC10 Conference 2005
- Title:
10th IMEKO TC10 Conference on Technical Diagnostics
- Place:
- Budapest, HUNGARY
- Time:
- 09 June 2005 - 10 June 2005