Summarizing Complexity in High Dimensional Spaces
نویسنده
چکیده
As the need to analyze high dimensional, multispectral data on complex physical systems becomes more common, the value of methods that glean useful summary information from the data increases. This paper describes a method that uses information theoretic based complexity estimation measures to provide diagnostic summary information from medical images. Implementation of the method would have been difficult if not impossible for a non expert programmer without access to the powerful array processing capabilities provided by SciPy.
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تاریخ انتشار 2008