kalngyk.github.io

This repository is for serving, through github.io, various files such as

• HTML pages from the other repositories,
  • https://kalngyk.github.io/kmeans_study_buddy.html
  • https://kalngyk.github.io/covidmap/covid_in_taiping.html
  • https://kalngyk.github.io/segmentplacer/figure2d.html

• data files (/data),

• Jupyter notebooks (/ipynb),

• library files (/lib), and

• PDF and DOC files (/doc)

  Mostly notes on some areas with strong spectral theory presence

  • Basics
    • Basic Spectral Theory
    • Gramian and Covariance
    • Short Notes on Similarity and Dissimilarity Measures
  • Dimensionality Reduction
    • Part 1: PCA and KPCA
    • Part 2: Multidimensional Scaling
    • Part 3: The Local Manifold
    • Part 4: t-SNE and UMAP
  • Spectral Clustering
    • Part 1: The Graph Laplacian
    • Part 2: Weighted Graph Laplacians
    • Part 3: The Normalized Laplacian
  • Graph Neural Networks
    • GNNs Demystified
    • Graph and Subgraph Isomorphism Using GNNs
    • Spectral Basis of GNNs