Download PDFOpen PDF in browser

A simulation experiment on bootstrap inference for Self-Organizing Maps

EasyChair Preprint no. 5982

10 pagesDate: July 1, 2021

Abstract

A stochastic simulation study is carried out to learn about quantification of uncertainties for Self-Organizing Maps (SOM). A mixture of Gaussian distributions is assumed as data generating process and the Monte Carlo generated samples are transformed according to the Kohonen (SOM) algorithm. Additionally, the original data matrix is resampled for a bootstrap quantification of parameter estimation uncertainties.

Keyphrases: Bootstrap, Self-Organizing Maps, stochastic simulation, uncertainty

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:5982,
  author = {José Manuel Mira and María Muñoz-Fernández de Córdoba and Gabriel Valverde and Beatriz González-Pérez},
  title = {A simulation experiment on bootstrap inference for Self-Organizing Maps},
  howpublished = {EasyChair Preprint no. 5982},

  year = {EasyChair, 2021}}
Download PDFOpen PDF in browser