• SHOGUN

  • Referenced in 95 articles [sw03517]
  • hidden Markov models, multiple kernel learning, linear discriminant analysis, and more. Most of the specific...
  • KPCA plus LDA

  • Referenced in 68 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 7 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 4 articles [sw10641]
  • sparseLDA: Sparse Discriminant Analysis. Performs sparse linear discriminant analysis for gaussians and mixture of gaussians...
  • 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...
  • RKHS

  • Referenced in 3 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...
  • HiDimDA

  • Referenced in 2 articles [sw06068]
  • HiDimDA: High Dimensional Discriminant Analysis , Performs Linear Discriminant Analysis in High Dimensional problems based...
  • 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 high-dimensional ... methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and user-friendly toolbox...
  • FADA

  • Referenced in 1 article [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...
  • 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...
  • candisc

  • Referenced in 2 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...
  • libPLS

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

  • Referenced in 1 article [sw07686]
  • block features, and the linear discriminant analysis on two different color channels...
  • ADE-4

  • Referenced in 6 articles [sw14077]
  • Geary indices), discriminant analysis and within/between groups analyses, many linear regression methods including lowess...
  • SVM

  • Referenced in 29 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...
  • sda

  • Referenced in 2 articles [sw06073]
  • Shrinkage Discriminant Analysis and CAT Score Variable Selection , This package provides ... efficient framework for high-dimensional linear and diagonal discriminant analysis with variable selection. The classifier...
  • dawai

  • Referenced in 1 article [sw24148]
  • Analysis With Additional Information) performs linear and quadratic discriminant analysis with additional information expressed...