Principal component analysis and dimensional analysis as materials informatics tools to reduce dimensionality in materials science and engineering

Krishna Rajan, Changwon Suh, Patricio F. Mendez. Principal component analysis and dimensional analysis as materials informatics tools to reduce dimensionality in materials science and engineering. Statistical Analysis and Data Mining, 1(6):361-371, 2009. [doi]

@article{RajanSM09,
  title = {Principal component analysis and dimensional analysis as materials informatics tools to reduce dimensionality in materials science and engineering},
  author = {Krishna Rajan and Changwon Suh and Patricio F. Mendez},
  year = {2009},
  doi = {10.1002/sam.10031},
  url = {http://dx.doi.org/10.1002/sam.10031},
  tags = {analysis, e-science},
  researchr = {https://researchr.org/publication/RajanSM09},
  cites = {0},
  citedby = {0},
  journal = {Statistical Analysis and Data Mining},
  volume = {1},
  number = {6},
  pages = {361-371},
}