Clustering time series data by analysing graphical models of connectivity and the application to diagnosis of brain disorders
In this thesis we investigate clustering and classification techniques applied to time series data from multivariate stochastic processes. In particular we focus on extracting features in the form of graphical models of conditional dependence between the process components. The motivation is to use...
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Imperial College London
2016
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.733153 |