Principal Component Analysis for Large Scale Problems with Lots of Missing Values.

Tapani Raiko Alexander Ilin Juha Karhunen

Published in: ECML (2007)

Keyphrases

missing values
principal component analysis
missing data
matrix completion
real world
high dimensional data
neural network
machine learning
feature selection
linear combination
principal components
missing data imputation
pattern recognition
singular value decomposition
incomplete data
missing information