• TISEAN

  • Referenced in 147 articles [sw00967]
  • algorithms for data representation, prediction, noise reduction, dimension and Lyapunov estimation, and nonlinearity testing...
  • Leibniz

  • Referenced in 31 articles [sw12871]
  • data estimation by a lazy learner - dimension reduction of models - decomposition of graphs and matrices...
  • Algorithm 913

  • Referenced in 22 articles [sw12775]
  • based on the induced dimension reduction theorem, that provides a way to construct subsequent residuals...
  • GAP

  • Referenced in 16 articles [sw26294]
  • effective than conventional graphical methods when dimension reduction techniques fail or when data...
  • dr

  • Referenced in 11 articles [sw14718]
  • package dr: Methods for Dimension Reduction for Regression. Functions, methods, and datasets for fitting dimension ... reduction regression, using slicing (methods SAVE and SIR), Principal Hessian Directions (phd, using residuals ... code for computing permutation tests of dimension. Adding additional methods of estimating dimension is straightforward...
  • HDclassif

  • Referenced in 15 articles [sw11114]
  • model which combines the ideas of dimension reduction and constraints on the model...
  • SADE

  • Referenced in 15 articles [sw07076]
  • ordinary differential equations, order and dimension reductions using Lie symmetries, classification of differential equations, Casimir...
  • BKZ

  • Referenced in 52 articles [sw10242]
  • best lattice reduction algorithm known in practice for high dimension is Schnorr-Euchner...
  • LDR

  • Referenced in 11 articles [sw08893]
  • proposed likelihood-based methods for sufficient dimension reduction. Current capabilities include estimation of reduced subspaces...
  • edrGraphicalTools

  • Referenced in 10 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 5 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...
  • WavePacket

  • Referenced in 6 articles [sw19829]
  • focus on open quantum systems and dimension reduction; it also describes the codes for optimal...
  • Geoxp

  • Referenced in 6 articles [sw08289]
  • data, GeoXp includes some dimension reduction techniques such...
  • curvclust

  • Referenced in 6 articles [sw07435]
  • random effects. We propose an efficient dimension reduction step based on wavelet thresholding adapted...
  • VAMPnets

  • Referenced in 5 articles [sw32927]
  • simulated coordinates into structural features, dimension reduction, clustering the dimension-reduced data, and estimation...
  • clustrd

  • Referenced in 3 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...
  • LDRTools

  • Referenced in 2 articles [sw19809]
  • package LDRTools: Tools for Linear Dimension Reduction. Linear dimension reduction subspaces can be uniquely defined...
  • EDR

  • Referenced in 2 articles [sw08172]
  • package EDR: Estimation of the effective dimension reduction (EDR) space. The library contains R-functions ... estimate the effective dimension reduction space in multi-index regression models...
  • BigVAR

  • Referenced in 3 articles [sw31349]
  • package BigVAR: Dimension Reduction Methods for Multivariate Time Series. Estimates VAR and VARX models with...
  • ePCA

  • Referenced in 3 articles [sw27830]
  • used very generally for dimension reduction and denoising of large data matrices with exponential family ... Marchenko – Pastur law in high dimensions. An open-source implementation is available...