Everything You Need to Know About Linear Discriminant Analysis

Dimensionality reduction techniques have become critical in machine learning since many high-dimensional datasets exist these days. Linear discriminant analysis is one such dimensionality reduction technique that is extremely popular. Linear Discriminant Analysis was developed as early as 1936 by Ronald A. Fisher. The original Linear discriminant applied to only a 2-class problem. It was only […]

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