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Non-linear principal component analysis of maximum expiratory flow-volume curves

✍ Scribed by Van Pelt, Wilfrid ;Van Rijckevorsel, Jan


Publisher
John Wiley and Sons
Year
1986
Tongue
English
Weight
577 KB
Volume
2
Category
Article
ISSN
8755-0024

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Principal component analysis (PCA), also known as proper orthogonal decomposition or Karhunen}Loe`ve transform, is commonly used to reduce the dimensionality of a data set with a large number of interdependent variables. PCA is the optimal linear transformation with respect to minimizing the mean sq