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An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification

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An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification

Abstract—Increasing the number of sensors in a gas identification system generally improves its performance as this will add extra features for analysis. However, this affects the com-putational complexity, especially if the identification algorithm is to be implemented on a hardware platform. < final year projects >

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