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EN
There are many techniques of multidimensional data visualization. Part of them was built for a specific purpose, while another part is very general. In case of the former, the selection of appropriate technique is straight forward, for the latter the selection is not always obvious. In certain simplification, selecting the most appropriated technique depends on the data which are visualized and the task that needs to be performed by the user over the visualization. This study is focused on evaluation of known visualization techniques for their applicability to a well-defined task and data set. The data set consist of medical patterns representing human diseases and their symptoms as an object-attribute data model. The task is to facilitate recognition of a disease by visualizing the reference medical patterns and the data of patient’s condition.
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