principal discriminant analysis
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Dec
LDA in AI
LDA/ Linear Discriminant Analysis is a very common technique used in supervised learning’s classification problems similar to PCA/ Principal Component Analysis which is used in Unsupervised Learning problems. LDA similar to PCA is a dimensionality reduction technique used as a pre-processing step in machine learning and pattern classification applications. Dimensionality reduction techniques can be used […]