Learning phase transitions: comparing PCA and SVM
Statistical Mechanics
2019-05-21 v1 High Energy Physics - Lattice
Computational Physics
Abstract
A comparison of results from principal component analysis and support vector machine calculations is made for a variety of phase transitions in two-dimensional classical spin models.
Keywords
Cite
@article{arxiv.1905.08220,
title = {Learning phase transitions: comparing PCA and SVM},
author = {R. M. Woloshyn},
journal= {arXiv preprint arXiv:1905.08220},
year = {2019}
}
Comments
22pages, 24 figures