Abstract
We propose an asymmetric version of the Self-Organizing Map (SOM) capable to properly visualize datasets consisting of time series. The goal is achieved by introducing an asymmetric coefficient making the asymmetric SOM capable to handle time series. The experiments on the U.S. Stock Market Dataset verify and confirm the effectiveness of the proposed asymmetric SOM extension.
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Olszewski, D., Kacprzyk, J., Zadrożny, S. (2013). Time Series Visualization Using Asymmetric Self-Organizing Map. In: Tomassini, M., Antonioni, A., Daolio, F., Buesser, P. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2013. Lecture Notes in Computer Science, vol 7824. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37213-1_5
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DOI: https://doi.org/10.1007/978-3-642-37213-1_5
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