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How to cite Principal component analysis
Also: PCA
Dimension reduction
Principal component analysis is a procedure that convert a set of possibly correlated variables into a set of linearly uncorrelated variables.
More informations about Principal component analysis can be found at this link.
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@article{doi:10.1080/14786440109462720,
author = { Karl Pearson F.R.S. },
title = {LIII. On lines and planes of closest fit to systems of points in space},
journal = {The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science},
volume = {2},
number = {11},
pages = {559-572},
year = {1901},
publisher = {Taylor & Francis},
doi = {10.1080/14786440109462720},
}
author = { Karl Pearson F.R.S. },
title = {LIII. On lines and planes of closest fit to systems of points in space},
journal = {The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science},
volume = {2},
number = {11},
pages = {559-572},
year = {1901},
publisher = {Taylor & Francis},
doi = {10.1080/14786440109462720},
}
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