Analyse du phénomène de la «sériation» à partir d'un tableau d'incidence
Analyse non symétrique de données par l'implication statistique
Analysis of correlation based dimension reduction methods
Dimension reduction is an important topic in data mining and machine learning. Especially dimension reduction combined with feature fusion is an effective preprocessing step when the data are described by multiple feature sets. Canonical Correlation Analysis (CCA) and Discriminative Canonical Correlation Analysis (DCCA) are feature fusion methods based on correlation. However, they are different in that DCCA is a supervised method utilizing class label information, while CCA is an unsupervised method....
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Application of discriminant, classification tree and neural network analysis to differentiate between potential glaucoma suspects with and without visual field defects.
Applications of the theory of partially ordered sets to cluster analysis
Approximation des dissimilarités par des arbres additifs
Approximation d'une préordonnance par une partition