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Senescence of human multifocal electroretinogram components: a localized approach

✍ Scribed by Radouil T. Tzekov; Christina Gerth; John S. Werner

Publisher
Springer-Verlag
Year
2004
Tongue
English
Weight
670 KB
Volume
242
Category
Article
ISSN
0065-6100

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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