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- W160955844 abstract "Magnetic Resonance spectra comprise finite frequency measurements sampled from a continuous frequency distribution and, therefore, are amenable to Functional Data Analysis (FDA) techniques. In this paper, MR spectral data are considered with the purpose of discriminating between brain tumour types. Models to fit these data can be affected by the uncertainty associated to the presence of outliers. A functional variation on a model for data clustering and visualization, the t-GTM, is introduced. It is defined as a mixture of Student t-distributions that is robust towards outliers. The effectiveness of this model for outlier detection and tumour type visualization is compared for raw and functional data." @default.
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- W160955844 date "2005-01-01" @default.
- W160955844 modified "2023-09-22" @default.
- W160955844 title "Functional topographic mapping for robust handling of outliers in brain tumour data." @default.
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