Machine Learning: Dimensionality reduction
8 videos • 5,906 views • by Mario Castro
1
Introduction to Principal Component Analysis: may the PCA be with you
Mario Castro
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2
Principal Components and eigenvalues: the hidden connection between algebra and machine learning
Mario Castro
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3
Principal Component Analysis: Computation and interpretation
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4
Tutorial: Principal Component Analysis
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5
Random topics in PCA (part I: Reconstruction, Quality of representation and Supplementary data)
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6
Random topics in PCA (part II: VARIMAX rotation and Hierarchical clustering on Principal Components)
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7
Correspondence analysis: How to reduce dimensions from two-entry tables
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8
Extra: Tutorial on (exploratory) Factor analysis
Mario Castro
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