Efficient and relevant classification of clinical findings, i.e. diagnostic decision making, poses a major challenge in medicine. In relation to biomedical NMR spectroscopy the problem of classification is often accompanied by complex, heavily overlapping information. Self-organizing map (SOM) analy
Application of self-organizing maps (SOM) to Auger electron spectroscopy (AES)
โ Scribed by Tokutaka, H.; Yoshihara, K.; Fujimura, K.; Iwamoto, K.; Obu-Cann, K.
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 333 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0142-2421
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โฆ Synopsis
The self-organizing map (SOM) method that was developed by Kohonen has been examined preliminarily by applying some problems of chemical analysis using AES data, leading to promising results: using a twodimensional SOM, the items that are described qualitatively by linguistic expressions can be explained more quantitatively by the position of the spectral data on the SOM, together with a grey level expression. The composition of an unknown sample also can be determined precisely by a SOM that has been constructed using spectra from samples of known composition.
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