Titlebook: Applied Multivariate Analysis in SAR and Environmental Studies; J. Devillers,W. Karcher Book 1991 Springer Science+Business Media Dordrech

Ancillary

https://doi.org/10.1007/978-3-8350-5551-3 However, practically,multivariate methods deal with the problem of linear representation of relationships among a set of measurements on a number of objects. When objects are chemical structures and measurements are molecular descriptors and rate of aerobic biodegradation, for instance, the techniq

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Schlussbetrachtung und Ausblick,ponent analysis and an introduction to regression on multivariate images. Figure 1 gives an overview of the methods of multivariate image analysis. This chapter contains two more advanced examples, that are closer to chemical practice. One example is from a visual and near-infrared camera digitizati

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Basic Procedures in Hierarchical Cluster Analysis,iduals, while the columns are variables or characters. The aim of such methods is to uncover some latent structure of the objects in terms of groups of similar elements and possibly, in terms of a hierarchy of embedded groups.

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The Use of Similarity and Clustering Techniques for the Prediction of Molecular Properties, these systems is to provide facilities for storage and retrieval, but the close relationship that is known to exist between the structure of a molecule and its physical, chemical and biological properties has led to increasing interest in the use of chemical structure databases for the prediction of molecular properties.

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Ursache-Wirkungs-Modell der Implementierung,rly 1970s multivariate methods have been increasingly infiltrating the field (Hansch .., 1973; Moriguchi and Komatsu, 1977; Henry and Block, 1980; MassartLe?n and Massart, 1981; Grassy .., 1982; Broto .., 1984; Dunn .., 1984b; Franke, 1984; Coats .., 1985; De Flora .., 1985; de Winter, 1985; Dufton,

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Multivariate Analysis of the Input and Output Data in the Fugacity Model Level I,rly 1970s multivariate methods have been increasingly infiltrating the field (Hansch .., 1973; Moriguchi and Komatsu, 1977; Henry and Block, 1980; MassartLe?n and Massart, 1981; Grassy .., 1982; Broto .., 1984; Dunn .., 1984b; Franke, 1984; Coats .., 1985; De Flora .., 1985; de Winter, 1985; Dufton,

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Chemical Multivariate Image Analysis: Some Case Studies,d to create 12 differently weighted images for the same slice of an egg. Principal Component Analysis and Partial Least Squares (PLS) regression were applied to this multivariate image. The technique of MRI is very useful in medical applications, but industrial applications in product quality contro