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The document discusses object oriented data analysis (OODA) and its application to non-Euclidean data spaces. It introduces OODA and functional data analysis as special cases where data objects are curves. For medical image analysis, data objects can be in non-Euclidean spaces like Lie groups, symmetric spaces, or spaces of tree-structured data. The paper focuses on developing a mathematical framework for statistical analysis of populations of tree-structured objects as an example of analyzing data in a str

Author

ErickDavidChavarríaMadriz

Language

EN