Supervised self-organizing maps were used for classification of 160 infrared spectra of urinary calculi composed of calcium oxalates (whewellite and weddellite), pure or in binary or ternary mixtures with carbonate apatite, struvite or uric acid. The study was focused to such calculi since more than
Online algorithm for the self-organizing map of symbol strings
β Scribed by Panu J. Somervuo
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 477 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0893-6080
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β¦ Synopsis
In this work an online algorithm is presented for the construction of the self-organizing map (SOM) of symbol strings. Each node of the SOM grid is associated with a model string which is a variable-vector sequence. Smooth interpolation method is applied in the training which performs simultaneous adaptation of the symbol content and the length of the model string. The efficiency of the method is demonstrated by the clustering of a 100,000-word English dictionary.
π SIMILAR VOLUMES
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