Sam Austin AI·1h agoEigenvectors and Eigenvalues for ML: The Intuition Behind PCA and CovarianceYou hit “fit” on PCA, and scikit-learn hands back components and explained variance. Cool, but what just happened? Most explanations jump…
Akshat A. Mistry·Oct 16Eigenvectors and EigenvaluesEigenvectors are the special vectors that keep their original direction under the transformation.
Rukshan Pramoditha·Sep 7Spectral Clustering Explained: How Eigenvectors Reveal Complex Cluster StructuresUnderstanding Why Spectral Clustering Outperforms K-MeansA response icon4A response icon4
Outermostkt·Sep 4Eigenvectors and Singular Vectors: A Complete Visual GuideIntroductionA response icon1A response icon1
Diane Khambu·Aug 21Numpy Implementation of PCA for Recognizing MNIST (handwritten digits) datasetIf you need some refresher in Principal Component Analysis (PCA), here is an article for that. This article will implement PCA using numpy…
Diane Khambu·Aug 17Learning Principal Component Analysis (PCA) on my Own TermsI was a bit surprised that I came across a note on my notebook that had these:
InData And BeyondbyDr Swarnendu AI·Jul 5Every Matrix Has a Secret Set of Directions It Refuses to Rotate. Here Is How to Find Them.**Eigenvalues are behind PCA, Google’s PageRank, training stability, and spectral clustering. You have avoided them long enough.**A response icon2A response icon2
Digitalspring·Jun 23Eigenvalues and Eigenvectors, Explained for People Who Are New to Machine LearningIf you’ve started learning machine learning, you’ve probably hit a wall the moment someone mentioned eigenvalues. The word sounds…
Mr. Vivek Kumar·Apr 3Demystifying Principal Component AnalysisPCA, Kernel PCA, Eigenvalues, Eigenvectors, Eigendecomposition and SVD.
Sarthak Pattanaik·Mar 14The Geometry of Principal Component Analysis: What Eigenvectors Actually Encode and When Variance…If you have been following this series, you have already witnessed geometry betray your intuitions twice. In our treatment of the curse of…
