University of Birmingham > Talks@bham > Artificial Intelligence and Natural Computation seminars > Data Visualisation: Recent Progress and Applications

Data Visualisation: Recent Progress and Applications

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If you have a question about this talk, please contact Per Kristian Lehre.

Data visualisation is a powerful tool to help non-statisticians understand and analyse large quantities of data. Probabilistic methods for projecting high-dimensional data to a 2d visualisation space, such as the Generative Topographic Mapping, are now well established in practical use. In this talk I will discuss how the basic algorithms can be enhanced to provide more information. Interactive tools help users interpret and drill down interactively into their data; block-structured covariance allows for the incorporation of prior understanding of relationships between variables; and technical improvements in the learning process allow us to better capture complex non-linear structure. These (and other new features) will be illustrated on a range of applications, including human obesity measurement, geochemical data for oil exploration, and analysis of small ligands for pharmaceuticals.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

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