Sebastian Raschka • 8/3/2014

Linear Discriminant Analysis

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This article provides a comprehensive, step-by-step explanation of Linear Discriminant Analysis (LDA). It details the theory behind LDA as a supervised dimensionality reduction technique, contrasts it with Principal Component Analysis (PCA), and includes a practical 5-step implementation guide using Python and the Iris dataset for pattern classification in machine learning.

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#Machine Learning #dimensionality reduction #classification
Linear Discriminant Analysis

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