STOR 881 Object Oriented Data Analysis

Object-Oriented Data Analysis (OODA) is a statistical analysis of a collection of complex objects. Examples include datasets, where data points can be curves, images, shapes, movies, or tree objects. Teaching method: full-time students on campus.

Object-oriented data analysis is the statistical analysis of a complex collection of objects. The problems of modern medical imaging analysis have prompted statistical analysis of a collection of more complex data objects that are elements of slightly non-Euclidean spaces (such as lie groups and symmetric spaces) or strong non-Euclidean spaces (such as tree-structured spaces). Data object. The concept of object-oriented data analysis also influences data analysis, providing a framework for discussing many of the many options required for modern complex data analysis, especially in an interdisciplinary context.

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