Presentation of correspondence analysis and multiple correspondence
analysis with the help of examples..- Multiple factor analysis: a
method to analyse several groups of variables measured on the same
set of individuals..- Principal component and correspondence
analyses with respect to instrumental variables: an overview of
their role in studies of structure-activity and species-environment
relationships..- Basic procedures in hierarchical cluster
analysis..- Interpretation of hierarchical clustering..- Graphical
techniques for multidimensional data analysis..- Factor analysis
and risk perception..- The use of similarity and clustering
techniques for the prediction of molecular properties..-
Multivariate analysis of the input and output data in the fugacity
model level I..- Multivariate analyses in genetic toxicology..- A
structure-biodegradability relationship model by discriminant
analysis..- Multivariate image analysis in chemistry: an
overview..- Chemical multivariate image analysis: some case
studies..- Multilayer neural networks applied to structure-activity
relationships..
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