• tsBSS

  • Referenced in 3 articles [sw38404]
  • package tsBSS: Blind Source Separation and Supervised Dimension Reduction for Time Series. Different estimators ... Taskinen (2017) ) and supervised dimension reduction problem for multivariate time series (Matilainen...
  • ICtest

  • Referenced in 5 articles [sw36426]
  • independent components analysis (ICA) and supervised linear dimension reduction tests and estimates for the number...
  • HDclassif

  • Referenced in 19 articles [sw11114]
  • package HDclassif: High Dimensional Supervised Classification and Clustering. Discriminant analysis and data clustering methods ... model which combines the ideas of dimension reduction and constraints on the model...
  • nsdr

  • Referenced in 1 article [sw41791]
  • implement both unsupervised and supervised nonlinear dimension reduction methods. Principal Component Analysis (PCA), Sliced Inverse...
  • lfda

  • Referenced in 2 articles [sw20801]
  • popular for supervised dimensionality reduction method. lfda is an R package for performing local Fisher ... supervised local Fisher discriminant analysis. It also provides visualization functions to easily visualize the dimension ... reduction results by using either rgl for 3D visualization or ggfortify for 2D visualization...
  • SupCP

  • Referenced in 2 articles [sw24588]
  • auxiliary covariates, {it SupCP}. SupCP generalizes the supervised singular value decomposition (SupSVD) for vector-valued ... dimension reduction, capturing latent structures that are more accurate and interpretable due to covariate supervision...
  • AutoMOMML

  • Referenced in 1 article [sw28744]
  • stages. The first stage is the dimension reduction stage, which reduces the number of inputs ... model selection stage, where several supervised-learning methods are evaluated and fine-tuned...
  • VICReg

  • Referenced in 1 article [sw39717]
  • Regularization for Self-Supervised Learning. Recent self-supervised methods for image representation learning are based ... dimension individually. VICReg combines the variance term with a decorrelation mechanism based on redundancy reduction...
  • CLEMM

  • Referenced in 1 article [sw31323]
  • models, envelope methodology aims for simultaneous dimension reduction and efficient parameter estimation, and includes ... envelope methods in unsupervised and semi-supervised learning problems. Numerical studies on simulated data...
  • GLOB

  • Referenced in 37 articles [sw00357]
  • GLOB -- a new VNS-based software for global...
  • LSQR

  • Referenced in 394 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...
  • Matlab

  • Referenced in 13488 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • Maxima

  • Referenced in 170 articles [sw00560]
  • Maxima is a system for the manipulation of...
  • mclust

  • Referenced in 308 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...
  • R

  • Referenced in 9832 articles [sw00771]
  • R is a language and environment for statistical...
  • SCIP

  • Referenced in 536 articles [sw01091]
  • SCIP is currently one of the fastest non...
  • APL

  • Referenced in 79 articles [sw01165]
  • APL (named after the book A Programming Language...
  • DistAl

  • Referenced in 103 articles [sw01746]
  • DistAl: An inter-pattern distance-based constructive learning...
  • LASSO

  • Referenced in 33 articles [sw02850]
  • A gradient descent algorithm for LASSO LASSO is...
  • OSCAR

  • Referenced in 55 articles [sw03026]
  • Simultaneous regression shrinkage, variable selection, and supervised clustering...