Extracting Principal Components from Pseudo-random Data by Using Random Matrix Theory.

Mieko Tanaka-Yamawaki

Published in: KES (3) (2010)

Keyphrases

principal components
multivariate data
data analysis
data sets
principal component analysis
uniformly distributed
neural network
original data
pseudorandom
knn
data distribution
spectral data