
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 SchnorrEuchner...

LDR
 Referenced in 11 articles
[sw08893]
 proposed likelihoodbased 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 likelihoodbased dimension reduction in regression. Functions, methods, and data sets ... fitting likelihoodbased 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 dimensionreduced 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 Rfunctions ... estimate the effective dimension reduction space in multiindex 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 opensource implementation is available...