
Isomap
 Referenced in 11 articles
[sw31686]
 Isomap: a global geometric framework for nonlinear dimensionality reduction. Scientists working with large volumes ... Unlike classical techniques such as principal component analysis (PCA) and multidimensional scaling (MDS), our approach ... capable of discovering the nonlinear degrees of freedom that underlie complex natural observations, such...

Manifolds.jl
 Referenced in 1 article
[sw39726]
 Framework for Data Analysis on Manifolds. For data given on a nonlinear space, like angles ... task on manifolds, and a principal component analysis on nonlinear data. In a benchmark, Manifolds.jl...

RMMEDA
 Referenced in 35 articles
[sw08554]
 piecewise continuous manifold. The local principal component analysis algorithm is used for building such ... decision variables in the case of nonlinear variable linkages. A few shortcomings of RMMEDA...

KFDB
 Referenced in 6 articles
[sw03397]
 accessories. These variations often lead to large nonlinear variation in facial image. To date ... face recognition performed using PCA(Principal Component Analysis), LFA (Local Feature Analysis) and correlation matching...

KyPlot
 Referenced in 2 articles
[sw00496]
 fitting methods can be utilized: linear and nonlinear regression based on least squares or maximum ... nonparametric tests, regression analysis, procedures for multivariate analysis (principal component, factor, discriminant and canonical correlation...

MDI
 Referenced in 2 articles
[sw35028]
 among variables. In this way, principal component analysis (PCA) models are fitted iteratively to impute ... known data regression (KDR), KDR with principal component regression (KDRPCR), KDR with partial least ... model plane (PMP), iterative algorithm (IA), modified nonlinear iterative partial least squares regression algorithm (NIPALS...

cSEM
 Referenced in 1 article
[sw37974]
 Modeling. Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using ... component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis ... GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or bartlett...

PACE
 Referenced in 1 article
[sw28690]
 Functional Principal Component Analysis (FPCA), a key technique for functional data analysis, for sparsely ... Principal Analysis by Conditional Estimation (PACE) algorithm. PACE is useful for the analysis of data ... sampled. PACE provides options for linear and nonlinear functional regression and correlation, for Longitudinal Data...

AMD
 Referenced in 58 articles
[sw00039]
 Algorithm 837: AMD is a set of routines...

ANSYS
 Referenced in 685 articles
[sw00044]
 ANSYS offers a comprehensive software suite that spans...

ARfit
 Referenced in 38 articles
[sw00046]
 ARfit is a collection of Matlab modules for...

CGAL
 Referenced in 381 articles
[sw00118]
 The goal of the CGAL Open Source Project...

CoCoA
 Referenced in 649 articles
[sw00143]
 CoCoA is a system for Computations in Commutative...

DEA
 Referenced in 245 articles
[sw00194]
 Data Envelopment Analysis (DEA) is becoming an increasingly...

EIGIFP
 Referenced in 43 articles
[sw00235]
 eigifp is a MATLAB program for computing a...

EViews
 Referenced in 39 articles
[sw00254]
 Eviews supports general statistical analysis and econometric analyses...

FGb
 Referenced in 246 articles
[sw00286]
 FGb/Gb libraryGb is a program (191 420 lines...

GAP
 Referenced in 3068 articles
[sw00320]
 GAP is a system for computational discrete algebra...

GAUSS
 Referenced in 119 articles
[sw00322]
 The GAUSS Mathematical and Statistical System is a...

gmp
 Referenced in 275 articles
[sw00363]
 GMP is a free library for arbitrary precision...