#high dimensional data

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Booster in High Dimensional Data Classification

Booster in High Dimensional Data Classification

Abstract:

Classification problems in high dimensional data with a small number of observations are becoming more common especially in microarray data. During the last two decades, lots of efficient classification models and feature selection (FS) algorithms have been proposed for higher prediction accuracies. However, the result of an FS algorithm…

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