Title :
Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data
Author :
Schleif, F.-M. ; Clauss, U. ; Villmann, T. ; Hammer, B.
fDate :
16-18 December, 2004
Keywords :
Bayesian methods; Cancer; Classification algorithms; Clustering algorithms; Mass spectroscopy; Proteins; Prototypes; Support vector machine classification; Support vector machines; Vector quantization;
Conference_Titel :
Machine Learning and Applications, 2004. Proceedings. 2004 International Conference on
Print_ISBN :
0-7803-8823-2
DOI :
10.1109/ICMLA.2004.1383538
