
DTREG
 Referenced in 4 articles
[sw23356]
 Support Vector Machine, KMeans clustering, Linear Discriminant Function, Linear Regression or Logistic Regression model...

RAGNU
 Referenced in 3 articles
[sw09591]
 separates the groups, or directly minimizing a function of the number of misclassified observations. Since ... statistical methods, such as Fisher’s linear discriminant function and logistic regression. It has also...

DIFFRAC
 Referenced in 5 articles
[sw23902]
 novel linear clustering framework (DIFFRAC) which relies on a lin ear discriminative cost function ... readily extended to non linear clustering if the discriminative cost function is based on positive...

RKHS
 Referenced in 5 articles
[sw03078]
 functional data setting. Finally, the relationship between Fisher’s linear discriminant analysis and canonical correlation ... vectors is extended to include situations with functionvalued random elements. This allows for classification...

fpc
 Referenced in 29 articles
[sw07105]
 clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections ... statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented...

LSSVMlab
 Referenced in 26 articles
[sw07367]
 methodology for solving problems in nonlinear classification, function estimation and density estimation which has also ... standard SVMs which lead to solving linear KKT systems. LSSVMs are closely related ... pattern recognition algorithms such as kernel Fisher discriminant analysis and extensions to unsupervised learning, recurrent...

candisc
 Referenced in 3 articles
[sw25169]
 Canonical Correlation Analysis. Functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation ... analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted ... multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide...

ArcFace
 Referenced in 5 articles
[sw33958]
 design of appropriate loss functions that enhance discriminative power. Centre loss penalises the distance between ... intraclass compactness. SphereFace assumes that the linear transformation matrix in the last fully connected ... incorporate margins in wellestablished loss functions in order to maximise face class separability ... Angular Margin Loss (ArcFace) to obtain highly discriminative features for face recognition. The proposed ArcFace...

ssfit
 Referenced in 4 articles
[sw12284]
 examine parameter estimators that are linear functions of a possibly large set of candidate features ... fractional design and sets of discriminant analyses is then used to find an optimal estimator...

vdar
 Referenced in 1 article
[sw38403]
 function from package ’MASS’ is extended to calculate a weighted linear (LDA) and quadratic discriminant...

MemHyb
 Referenced in 15 articles
[sw25194]
 Knowledge of membrane protein’s structure and function has great importance in biological and pharmacological ... amino acid composition to effectively discriminate membrane protein types. Linear, polynomial, and RBF based...

libPLS
 Referenced in 2 articles
[sw33119]
 Linear Discriminant Analysis. This library provides a whole set of easytouse functions...

TULIP
 Referenced in 2 articles
[sw28276]
 Linear Discriminant Analysis (LDA) and provides a comprehensive and userfriendly toolbox for linear, semi ... Qing Mai and Xin Zhang (2019) . Functions are included for covariate adjustment, model fitting, cross...

FADA
 Referenced in 4 articles
[sw16021]
 High Dimension. The functions provided in the FADA (Factor Adjusted Discriminant Analysis) package ... model (see Friedman et al. (2010)), sparse linear discriminant analysis (see Clemmensen...

hddplot
 Referenced in 1 article
[sw17549]
 Derive Scores for Plots. Crossvalidated linear discriminant calculations determine the optimum number of features ... projected, in order to plot them. Further functions are included that serve didactic purposes...

RcmdrPlugin.NMBU
 Referenced in 0 articles
[sw16589]
 functionality of linear models and providing an interface to Partial Least Squares Regression and Linear ... Quadratic Discriminant analysis. Several statistical summaries are extended, predictions are offered for additional types...

rsatoolbox
 Referenced in 1 article
[sw32148]
 brainactivity measurements as provided by modern functional imaging and neuronal recording techniques. Tools ... specific geometry. Finally, we introduce the lineardiscriminant t value as a measure of representational ... discriminability that bridges the gap between linear decoding analyses and RSA. In order to demonstrate ... simulated and real fMRI data. The key functions are equally applicable to other modalities...

StatPatternRecognition
 Referenced in 1 article
[sw15007]
 community. The package includes linear and quadratic discriminant analysis, decision trees, bump hunting (PRIM), boosting ... standard backpropagation neural net and radial basis function neural net implemented in the Stuttgart Neural...

OLP
 Referenced in 1 article
[sw27618]
 executing the computations. One function is for finding the optimal linear partitions and corresponding separating ... well the data comply with the linear separability condition. We illustrate the method on possible ... compare its performance with that of linear discriminant analysis and multiple logistic regression, adapted...

longQDA
 Referenced in 1 article
[sw20397]
 criteria for determining the most appropriate univariate linear mixed model structures for each group ... package long QDA for executing quadratic discriminant analysis with longitudinal data. Beyond the statistical methodology ... criterion is demonstrated for two features: the functionalities for multivariate data settings...