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

Leibniz
 Referenced in 30 articles
[sw12871]
 data estimation by a lazy learner  dimension reduction of models  decomposition of graphs and matrices...

Algorithm 913
 Referenced in 15 articles
[sw12775]
 based on the induced dimension reduction theorem, that provides a way to construct subsequent residuals...

SADE
 Referenced in 12 articles
[sw07076]
 ordinary differential equations, order and dimension reductions using Lie symmetries, classification of differential equations, Casimir...

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 SchnorrEuchner...

LDR
 Referenced in 5 articles
[sw08893]
 proposed likelihoodbased 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...

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

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

sSDR
 Referenced in 1 article
[sw20968]
 Structured ordinary least squares: a sufficient dimension reduction approach for regressions with partitioned predictors ... this known structure in the predictor dimension reduction stage that precedes modeling ... this, we propose a novel Sufficient Dimension Reduction (SDR) approach that we call {it structured...

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

WavePacket
 Referenced in 2 articles
[sw19829]
 focus on open quantum systems and dimension reduction; it also describes the codes for optimal...

curvclust
 Referenced in 2 articles
[sw07435]
 random effects. We propose an efficient dimension reduction step based on wavelet thresholding adapted...

EDR
 Referenced in 1 article
[sw08172]
 Estimation of the effective dimension reduction (EDR) space. The library contains Rfunctions to estimate ... effective dimension reduction space in multiindex regression models...

lfda
 Referenced in 1 article
[sw20801]
 popular for supervised dimensionality reduction method. lfda is an R package for performing local Fisher ... visualization functions to easily visualize the dimension reduction results by using either...

multiDimBio
 Referenced in 1 article
[sw19778]
 through publication. The methods focus on dimension reduction approaches to detect patterns in complex, multivariate...

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...

SIMLR
 Referenced in 1 article
[sw19471]
 used to perform tasks such as dimension reduction, clustering, and visualization of heterogeneous populations...