• TISEAN

  • Referenced in 121 articles [sw00967]
  • algorithms for data representation, prediction, noise reduction, dimension and Lyapunov estimation, and nonlinearity testing...
  • Leibniz

  • Referenced in 29 articles [sw12871]
  • data estimation by a lazy learner - dimension reduction of models - decomposition of graphs and matrices...
  • SADE

  • Referenced in 11 articles [sw07076]
  • ordinary differential equations, order and dimension reductions using Lie symmetries, classification of differential equations, Casimir...
  • Algorithm 913

  • Referenced in 11 articles [sw12775]
  • based on the induced dimension reduction theorem, that provides a way to construct subsequent residuals...
  • dr

  • Referenced in 4 articles [sw14718]
  • Methods for Dimension Reduction for Regression. Functions, methods, and datasets for fitting dimension reduction regression ... code for computing permutation tests of dimension. Adding additional methods of estimating dimension is straightforward...
  • BKZ

  • Referenced in 25 articles [sw10242]
  • best lattice reduction algorithm known in practice for high dimension is Schnorr-Euchner...
  • LDR

  • Referenced in 5 articles [sw08893]
  • proposed likelihood-based methods for sufficient dimension reduction. Current capabilities include estimation of reduced subspaces...
  • edrGraphicalTools

  • Referenced in 5 articles [sw11105]
  • edrGraphicalTools: Provides tools for dimension reduction methods. This package comes to illustrate the articles ... selecting the number of slices and the dimension of the model in SIR and SAVE...
  • ldr

  • Referenced in 2 articles [sw16971]
  • package ldr: Methods for likelihood-based dimension reduction in regression. Functions, methods, and data sets ... fitting likelihood-based dimension reduction in regression, using principal fitted components (pfc), likelihood acquired directions...
  • HDclassif

  • Referenced in 2 articles [sw11114]
  • model which combines the ideas of dimension reduction and constraints on the model...
  • EDR

  • Referenced in 1 article [sw08172]
  • Estimation of the effective dimension reduction (EDR) space. The library contains R-functions to estimate ... effective dimension reduction space in multi-index regression models...
  • Geoxp

  • Referenced in 1 article [sw08289]
  • data, GeoXp includes some dimension reduction techniques such...
  • ICLUS

  • Referenced in 1 article [sw02611]
  • patterns. ICA is also a useful dimension reduction technique for multivariate data analysis. We apply...
  • curvclust

  • Referenced in 1 article [sw07435]
  • random effects. We propose an efficient dimension reduction step based on wavelet thresholding adapted...
  • Tapkee

  • Referenced in 1 article [sw10888]
  • Tapkee: an efficient dimension reduction library. We present Tapkee, a C++ template library that provides...
  • PTA

  • Referenced in 1 article [sw09307]
  • demonstrate the utility of PTA for dimension reduction, time-course signal recovery and feature selection...
  • GSVA

  • Referenced in 1 article [sw17293]
  • single gene analysis include noise and dimension reduction, as well as greater biological interpretability...
  • SeDiMO

  • Referenced in 9 articles [sw07826]
  • Secant dimensions of minimal orbits: computations and conjectures Let G be a connected reductive complex ... issues, they list some conjectures about secant dimensions especially regarding Grassmannians and Segre products. Moreover...
  • clustrd

  • Referenced in 0 articles [sw17529]
  • package clustrd. Methods for Joint Dimension Reduction and Clustering. A class of methods that combine ... dimension reduction and clustering of continuous or categorical data. For continuous data, the package contains...
  • rCUR

  • Referenced in 1 article [sw16750]
  • type of huge datasets is to reduct their dimensions. Principal component analysis...