Choosing Principal Components: A New Graphical Method Based on Bayesian Model Selection.

Philipp Auer Daniel Gervini

Published in: Commun. Stat. Simul. Comput. (2008)

Keyphrases

principal components
neural network
high dimensional
principal component analysis
machine learning
image sequences
similarity measure
objective function
probabilistic model
least squares
feature set
em algorithm
statistical methods
kernel space
bayesian model selection