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pro vyhledávání: '"Schmitt, Johanna"'
Autor:
Gaydos, Travis L., Heckman, Nancy E., Kirkpatrick, Mark, Stinchcombe, J. R., Schmitt, Johanna, Kingsolver, Joel, Marron, J. S.
Publikováno v:
Annals of Applied Statistics 2013, Vol. 7, No. 2, 860-882
Principal Components Analysis (PCA) is a common way to study the sources of variation in a high-dimensional data set. Typically, the leading principal components are used to understand the variation in the data or to reduce the dimension of the data
Externí odkaz:
http://arxiv.org/abs/1312.1801