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Publication - Professor Ian Nabney

    Visualisation of heterogeneous data with the generalised generative topographic mapping

    Citation

    Randrianandrasana, M, Mumtaz, S & Nabney, I, 2015, ‘Visualisation of heterogeneous data with the generalised generative topographic mapping’. in: José Braz, Andreas Kerren, Lars Linsen (eds) Proceedings of the 6th international conference on information visualization theory and applications. SciTePress, pp. 233-238

    Abstract

    Heterogeneous and incomplete datasets are common in many real-world visualisation applications. The probabilistic nature of the Generative Topographic Mapping (GTM), which was originally developed for complete continuous data, can be extended to model heterogeneous (i.e. containing both continuous and discrete values) and missing data. This paper describes and assesses the resulting model on both synthetic and real-world heterogeneous data with missing values.

    Full details in the University publications repository