Improving high-dimensional data fusion by exploiting the multivariate advantage

B. P. Geurts, J. Engel, B. Rafii, L. Blanchet, A. Suppers, E. Szymanska, J. J. Jansen, L. M. C. Buydens

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)231-240
JournalChemometrics and Intelligent Laboratory Systems
Volume156
DOIs
Publication statusPublished - 15 Aug 2016

Keywords

  • Data fusion
  • Partial correlation
  • Classification
  • Mid-level data fusion
  • High-level data fusion

Cite this

Geurts, B. P., Engel, J., Rafii, B., Blanchet, L., Suppers, A., Szymanska, E., Jansen, J. J., & Buydens, L. M. C. (2016). Improving high-dimensional data fusion by exploiting the multivariate advantage. Chemometrics and Intelligent Laboratory Systems, 156, 231-240. https://doi.org/10.1016/j.chemolab.2016.05.010