chore: import upstream snapshot with attribution

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wehub-resource-sync
2026-07-13 13:38:23 +08:00
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Unsupervised dimensionality reduction via principal component analysis 128
Total and explained variance
Feature transformation
Principal component analysis in scikit-learn
Supervised data compression via linear discriminant analysis
Computing the scatter matrices
Selecting linear discriminants for the new feature subspace
Projecting samples onto the new feature space
LDA via scikit-learn
Using kernel principal component analysis for nonlinear mappings
Kernel functions and the kernel trick
Implementing a kernel principal component analysis in Python
Example 1 separating half-moon shapes
Example 2 separating concentric circles
Projecting new data points
Kernel principal component analysis in scikit-learn
Summary