CITATION.cff

cff-version: 1.2.0
message: 'If you use this software, please cite it as below.'
title: 'Javascript implementation of Principal Component Analysis (PCA)'
abstract: 'This tool allows to reduce the dimensionality of a dataset by projecting it into a new space where the variance can be explained by most important dimensions using Javascript.'
repository-artifact: http://cheminfo.github.io/jcampconverter/
repository-code: https://github.com/cheminfo/jcampconverter
authors:
  - family-names: 'Zasso'
    given-names: 'Michaël'
    affiliation: 'Zakodium Sàrl, Switzerland'
    orcid: 'https://orcid.org/0000-0001-5295-2159'
  - family-names: 'Patiny'
    given-names: 'Luc'
    orcid: 'https://orcid.org/0000-0002-4943-2643'
  - family-names: 'Wist'
    given-names: 'Julien'
    affiliation: 'Universidad del Valle, Cali, Colombia'
    orcid: 'https://orcid.org/0000-0002-3416-2572'
  - family-names: 'Kostro'
    given-names: 'Daniel'
    affiliation: 'Zakodium Sàrl, Switzerland'
    orcid: 'https://orcid.org/0000-0003-3885-6579'
license: MIT
keywords:
  - PCA
  - Machine learning
  - Unsupervised learning
doi: 10.5281/zenodo.7314532