Description
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..
