Marie-Louise O'Connell

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The classification of high dimensional data, such as images, gene-expression data and spectral data, poses an interesting challenge to machine learning , as the presence of high numbers of redundant or highly correlated attributes can seriously degrade classification accuracy. This paper investigates the use of Principal Component Analysis (PCA) to reduce(More)
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