Math Problem Statement
Which of the following is/are true for PCA and MDA? First, projection direction may not be the best in terms of minimum squared error for MDA. Second, projection direction is best in terms of minimum squared error for PCA. A. Only one. B. Only two. C. Only one. Both one and two. D. Neither one or two.
Solution
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Math Problem Analysis
Mathematical Concepts
Principal Component Analysis (PCA)
Multiple Discriminant Analysis (MDA)
Dimensionality Reduction
Formulas
PCA maximizes variance (minimizes squared error)
MDA maximizes the ratio of between-class variance to within-class variance
Theorems
Eigenvalue Decomposition in PCA
Fisher's Linear Discriminant in MDA
Suitable Grade Level
Advanced Undergraduate/Graduate Level
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