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A general procedure for transformation of abstract factor solution to real one in presence of linear constraints. An application for chemical component analysis from NMR data.
Reino Laatikainen
Kari Tuppurainen
Published in:
Comput. Chem. (1990)
Keyphrases
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component analysis
data sets
training data
linear constraints
data analysis
missing data
factor analysis
machine learning
feature selection
feature space
upper bound
training samples