Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps

Yale University

PubMed
Indexed incrossrefpubmed

Abstract

We provide a framework for structural multiscale geometric organization of graphs and subsets of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} \begin{equation*}{\mathbb{R}}^{n}\end{equation*}\end{document} . We use diffusion semigroups to generate multiscale geometries in order to organize and represent complex structures. We show that appropriately selected eigenfunctions or scaling functions of Markov matrices, which describe local transitions, lead to macroscopic descriptions at different scales. The process of iterating or diffusing the Markov…

Citation impact

1,754
total citations
FWCI
38.12
Percentile
100%
References
13
Citations per year

Authors

7

Topics & keywords

Keywords
  • Generalization
  • Eigenfunction
  • Statistical physics
  • Markov chain
  • Computer science
  • Diffusion
  • Infinitesimal
  • Diffusion map
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