
SHOGUN
 Referenced in 98 articles
[sw03517]
 hidden Markov models, multiple kernel learning, linear discriminant analysis, and more. Most of the specific...

KPCA plus LDA
 Referenced in 69 articles
[sw08766]
 examines the theory of kernel Fisher discriminant analysis (KFD) in a Hilbert space and develops ... principal component analysis (KPCA) plus Fisher linear discriminant analysis (LDA). This framework provides novel insights...

DIYABC
 Referenced in 8 articles
[sw21021]
 analytical methods. It allows (i) the analysis of single nucleotide polymorphism data at large number ... efficient Bayesian model choice using linear discriminant analysis on summary statistics and (iii) the serial...

sparseLDA
 Referenced in 5 articles
[sw10641]
 sparseLDA: Sparse Discriminant Analysis. Performs sparse linear discriminant analysis for gaussians and mixture of gaussians...

HiDimDA
 Referenced in 3 articles
[sw06068]
 HiDimDA: High Dimensional Discriminant Analysis , Performs Linear Discriminant Analysis in High Dimensional problems based...

RKHS
 Referenced in 4 articles
[sw03078]
 that lead to canonical factor analysis are also generalized to the functional data setting ... Finally, the relationship between Fisher’s linear discriminant analysis and canonical correlation analysis for random...

FADA
 Referenced in 3 articles
[sw16021]
 provided in the FADA (Factor Adjusted Discriminant Analysis) package aim at performing supervised classification ... Friedman et al. (2010)), sparse linear discriminant analysis (see Clemmensen et al. (2011)), shrinkage linear...

ViDaExpert
 Referenced in 2 articles
[sw07558]
 Principal Components Analysis, different clustering methods, Linear Discriminate Analysis, Linear Regression Method. The main principle...

CViz
 Referenced in 3 articles
[sw00178]
 primarily because it is based on linear discriminant analysis and it conforms to rigorous standards...

rrlda
 Referenced in 1 article
[sw24149]
 package rrlda: Robust Regularized Linear Discriminant Analysis. This package offers methods to perform robust regularized ... linear discriminant analysis...

TULIP
 Referenced in 1 article
[sw28276]
 package TULIP: A Toolbox for Linear Discriminant Analysis with Penalties. Integrates several popular highdimensional ... methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and userfriendly toolbox...

candisc
 Referenced in 3 articles
[sw25169]
 analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted ... design and is equivalent to canonical correlation analysis between a set of quantitative response variables ... designs for all factors in a multivariate linear model, computing canonical scores and vectors...

ADE4
 Referenced in 8 articles
[sw14077]
 Geary indices), discriminant analysis and within/between groups analyses, many linear regression methods including lowess...

sda
 Referenced in 3 articles
[sw06073]
 Shrinkage Discriminant Analysis and CAT Score Variable Selection , This package provides ... efficient framework for highdimensional linear and diagonal discriminant analysis with variable selection. The classifier...

BCBCSF
 Referenced in 1 article
[sw07436]
 prediction analysis for microarrays and diagonal linear discriminant analysis. The R package BCBCSF...

OLP
 Referenced in 1 article
[sw27618]
 compare its performance with that of linear discriminant analysis and multiple logistic regression, adapted...

libPLS
 Referenced in 1 article
[sw33119]
 Partial Least Squares Regression and Linear Discriminant Analysis. This library provides a whole...

RaSEn
 Referenced in 1 article
[sw33917]
 classifiers are also various, for instance, linear discriminant analysis, quadratic discriminant analysis, knearest neighbour...

FaceRecLib
 Referenced in 1 article
[sw07686]
 block features, and the linear discriminant analysis on two different color channels...

SVM
 Referenced in 30 articles
[sw14904]
 Matlab Toolbox. Key Features: SVM Classification using linear and quadratic penalization of misclassified examples ( penalization ... Based Feature Selection; Kernel PCA; Kernel Discriminant Analysis; SVM Based Feature selection; SVM AUC Optimization...