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Summarizing Complexity in High Dimensions
2005
Physical Review Letters
University of California, San Francisco, USA 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
doi:10.1103/physrevlett.94.098701
pmid:15784007
fatcat:3rihxmlww5erjizkynfcuycaf4