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Linear Discriminant Analysis in Machine Learning Linear Discriminant Analysis (LDA) also known as Normal Discriminant Analysis is supervised classification problem that helps separate two or more classes by converting higher-dimensional data space into a lower-dimensional space
Learning Disabilities Association of America – Support . . . Since 1964, Learning Disabilities Association of America (LDA) has provided support to people with learning disabilities, their parents, teachers, and other professionals with cutting-edge information on learning disabilities, practical solutions,…
Linear Discriminant Analysis (LDA) — STATS 202 Linear Discriminant Analysis (LDA) Strategy: Instead of estimating P (Y ∣ X) directly, we could estimate: P ^ (X ∣ Y): Given the response, what is the distribution of the inputs P ^ (Y): How likely are each of the categories Then, we use Bayes rule to obtain the estimate:
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