Phenolic compounds in 46 Spanish cider apple varieties were determined by RP-HPLC with direct injection. Several pattern recognition procedures, including principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares (PLS-1), were applied to the data in an attempt to classify the samples into bitter and nonbitter categories. Reliable decision rules were obtai...

The complete theory for Fisher and dual discriminant analysis is presented as the background of the novel algorithms. LDA is found as composition of projection onto the singular subspace for within-class normalised data with the projection onto the singular subspace for betweenclass normalised data. The dual LDA consists of those projections applied in reverse order. The experiments show that u...

BACKGROUND Gastroprotective agents are recommended for patients receiving low-dose aspirin (LDA) or nonsteroidal anti-inflammatory drugs (NSAIDs). Vonoprazan is a potassium-competitive acid blocker recently approved for the prevention of peptic ulcer recurrence in patients receiving LDA or NSAIDs. METHODS This phase 2, open-label, single-center study in healthy Japanese males evaluated drug-d...

Introduction: Lineated valley fill (LVF) and lobate debris aprons (LDA) form in association with fretted terrain and fretted channels in the northern part of Ara-bia Terra [1-3]. Geological mapping in the region [4] shows that LVF and LDA represent Amazonian-aged modification of the fretted topography, which itself formed prior to middle Hesperian. Expanding on [1-11], we report observations of...

Introduction: Fretted terrain and fretted channels are very well developed in the northern part of Arabia Terra [1] and are the site of development of lineated valley fill (LVF) and lobate debris aprons (LDA) [2-3]. The detailed geological history and chronology of this region provide [4] a framework for the interpretation of modification processes operating on and near the dichotomy boundary. ...

Fisher{Rao Linear Discriminant Analysis (LDA), a valuable tool for multi-group classiication and data reduction, has been investigated in the maximum likelihood framework. It has been shown that the LDA solution is a special case from the more general class of solutions. Generalizations of the LDA formulation have been proposed to handle the case where the within class variances are unequal, an...

Loss Differentiation Algorithms (LDA) are currently used to determine the cause of packet losses with an aim of improving TCP performance over wireless networks. In this work, we are interested in the distinction between losses due to interferences on 802.11 links from those due to congestions. To this end, we compare different LDA schemes existing in the literature and a proposal of a cross-la...

Partial least squares (PLS) approach is proposed for linear discriminant analysis (LDA) when predictors are data of functional type (curves). Based on the equivalence between LDA and the multiple linear regression (binary response) and LDA and the canonical correlation analysis (more than two groups), the PLS regression on functional data is used to estimate the discriminant coefficient functio...

This paper demonstrates that the imbalanced data sets have a negative effect on the performance of LDA theoretically. This theoretical analysis is confirmed by the experimental results: using several sampling methods to rebalance the imbalanced data sets, it is found that the performances of LDA on balanced data sets are superior to those of LDA on imbalanced data sets. 2006 Pattern Recognition...