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Here are some ressources related to Matrix, Eigenvectors, Pca. Hoping you will find learning material, alternative tools or just some interesting stuff.

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Articles

A tutorial on Principal Components Analysis (2002) [pdf]

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Foundations of Data Science (2018) [pdf]

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Principal Component Analysis

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Foundations of Data Science [pdf]

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What Is a Manifold?

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How are PCA and SVD related?

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Implementing a Principal Component Analysis In Python (2014)

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Foundations of Data Science [pdf]

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Singular Value Decomposition Part 2: Theorem, Proof, Algorithm

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Principal Component Projection Without Principal Component Analysis

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Random Points on a Sphere

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Show HN: Explained Visually

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Principal Component Analysis for Dummies

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How to optimally trap points in high-dimensional spaces inside ellipsoids

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Proof of the Singular Value Decomposition

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