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Linear Discriminant Analysis (LDA) is a dimensionality reduction and classification method. It finds low-dimensional subspace with the strongest class separation and uses it to perform classification. Use this tag for quadratic DA (QDA) too.

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Combining PLS-DA with PCA dimension reduction

I am implementing the PLS-DA method presented here on a data set and I am trying to understand the procedure; and whether there is anything conceptually wrong in my steps. I start with $188 \times …
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