Looking at data and models in high-dimensional spaces: (2) How, when and why to use interactive and dynamic graphics
Seminar Room 1, Newton Institute
This session will be an explanation of graphics for high-dimensional spaces, and ways to calibrate your eyes to recognise structure. We'll also discuss graphics in association with data mining methods, perhaps, self-organizing maps, model-based clustering, support vector machines and neural networks. We'll use R, ggobi, and the package rggobi.
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