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2.13 Rotated principal component analysis [Book, Sect[removed]Fig.: PCA applied to a dataset composed of (a) 1 cluster, (b) 2 clusters, (c) and (d) 4 clusters. In (c), an orthonormal rotation ˜j , (j =1, 2). and (d) an ob
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Document Date: 2013-09-03 18:40:48
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Multivariate statistics
Singular value decomposition
Abstract algebra
Matrix theory
Principal component analysis
Eigenvalues and eigenvectors
Factor analysis
Rotation matrix
Orthonormality
Algebra