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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Object Data Driven Discovery

## Object Data Driven DiscoveryAdd to your list(s) Download to your calendar using vCal - Ian Dryden (University of Nottingham)
- Tuesday 20 March 2018, 14:30-15:30
- Seminar Room 1, Newton Institute.
If you have a question about this talk, please contact info@newton.ac.uk. STSW02 - Statistics of geometric features and new data types Object data analysis is an important tool in the many disciplines where the data have much richer structure than the usual numbers or vectors. An initial question to ask is: what are the most basic data units? i.e. what are the atoms of the data? We describe an introduction to this topic, where the statistical analysis of object data has a wide variety of applications. An important aspect of the analysis is to reduce the dimension to a small number key features while respecting the geometry of the manifold in which objects lie. Three case studies are given which exemplify the types of issues that are encountered: i) Describing changes in variability in damaged DNA , ii) Testing for geometrical differences in carotid arteries, where patients are at high or low risk of aneurysm, iii) clustering enzymes observed over time. In all three applications the structure of the data manifolds is important, in particular the manifold of covariance matrices, unlabelled size-and-shape space and shape space. This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
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