Sharma, Alokanand and Onwubolu, Godfrey C. (2007) A hybrid approach for modeling high dimensional medical data. [Conference Proceedings]
Full text not available from this repository.Abstract
This work presents the application of hybrid PCA and LDA to modeling high dimensional
medical data, which is a real-life problem. For modeling and classifying medical data, we adopted
this combination of two stage PCA and LDA procedure which is also known as Fisherface technique.
During the training phase we applied this combination for extracting features from medical data. In
the classification stage we introduced weighting ratio which is used with the conventional Euclidean
distance measure to classify a given sample. For brevity we call this technique the weighted distance
Fisherface technique. The presented technique shows promising results for medical data when
compared with standard GMDH technique; in the two problems taken from the machining learning
databases, the presented approach performed better than the standard GMDH.
| Item Type: | Conference Proceedings |
|---|---|
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics |
| Depositing User: | Ms Mereoni Camailakeba |
| Date Deposited: | 26 Apr 2007 02:23 |
| Last Modified: | 23 Jul 2012 07:15 |
| URI: | https://repository.usp.ac.fj/id/eprint/4260 |
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