Clustering multivariate and functional data using spatial rank functions
In this work, we consider the problem of determining the number of clusters in the multivariate and functional data, where the data are represented by a mixture model in which each component corresponds to a different cluster without any prior knowledge of the number of clusters. For the multivariat...
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University of Birmingham
2016
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699175 |