Visual cluster analysis of trajectory data with interactive Kohonen Maps


Visual-interactive cluster analysis provides valuable tools for effectively analyzing large and complex data sets. Due to desirable properties and an inherent predisposition for visualization, the Kohonen Feature Map (or self-organizing map, or SOM) algorithm is among the most popular and widely used visual clustering techniques. However, the unsupervised… (More)
DOI: 10.1109/VAST.2008.4677350


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