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Identifying potential binding modes and explaining partitioning behavior using flexible alignments and multidimensional scaling.
Miklos Feher
Jonathan M. Schmidt
Published in:
J. Comput. Aided Mol. Des. (2001)
Keyphrases
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multidimensional scaling
low dimensional
cluster analysis
euclidean distance
vector space
latent structure
pairwise
dimensionality reduction
missing data
feature selection
pattern recognition
association rules
least squares
manifold learning