
Algorithm 971
 Referenced in 6 articles
[sw22686]
 implementation of a randomized algorithm for principal component analysis. Recent years have witnessed intense development ... rank approximation. These methods target principal component analysis and the calculation of truncated singular value...

shapes
 Referenced in 7 articles
[sw14500]
 shapes, including Procrustes analysis, graphical displays, principal components analysis, permutation and bootstrap tests, thinplate...

mdp
 Referenced in 7 articles
[sw14129]
 increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis...

ADE4
 Referenced in 4 articles
[sw14077]
 include usual onetable methods like principal component analysis and correspondence analysis, spatial data analysis ... local and global components, analogous to Moran and Geary indices), discriminant analysis and within/between groups ... principal component regression), projection methods like principal component analysis on instrumental variables, canonical correspondence analysis...

JIVE
 Referenced in 6 articles
[sw09511]
 general decomposition of variation for the integrated analysis of such data sets. The decomposition consists ... proposed method represents an extension of Principal Component Analysis and has clear advantages over popular...

KFDB
 Referenced in 6 articles
[sw03397]
 face recognition performed using PCA(Principal Component Analysis), LFA (Local Feature Analysis) and correlation matching...

coDaPack
 Referenced in 5 articles
[sw09297]
 compositional data: the freeware coDaPack. The statistical analysis of compositional data based on logratios ... dimensionality as the biplot or Principal Component Analysis are very useful tools in a multivariate...

robCompositions
 Referenced in 5 articles
[sw11804]
 outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis...

irlba
 Referenced in 3 articles
[sw21041]
 Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices ... truncated singular value decomposition and principal components analysis of large sparse and dense matrices...

fpca
 Referenced in 4 articles
[sw21039]
 package fpca: Restricted MLE for Functional Principal Components Analysis. A geometric approach...

gNCA
 Referenced in 4 articles
[sw08821]
 transcriptome: identifiability and numerical implementation. Network Component Analysis (NCA) is a network structuredriven framework ... contrast to classical approaches such as principal component analysis or independent component analysis, NCA makes...

MTS
 Referenced in 3 articles
[sw15485]
 factor models, constrained factor models, asymptotic principal component analysis commonly used in finance and econometrics ... principal volatility component analysis. (a) For the multivariate linear time series analysis, the package performs...

UODV
 Referenced in 4 articles
[sw02422]
 UODV algorithm based on the typical principal component analysis, which can satisfy the statistical uncorrelation...

PBAT
 Referenced in 4 articles
[sw10529]
 vary for each measurement. Using generalized principal component analysis, FBATPC amplifies the genetic effects...

Gmedian
 Referenced in 2 articles
[sw21318]
 Matrix with Application to Online Robust Principal Components Analysis. The geometric median covariation matrix ... weak conditions. The computation of the principal components can also be performed online and this ... data is small and robust principal components analysis based on projection pursuit and spherical projections ... interest of considering the robust principal components analysis based on the median covariation matrix...

bpca
 Referenced in 2 articles
[sw25487]
 Biplot of Multivariate Data Based on Principal Components Analysis. Implements biplot ... multivariate data based on principal components analysis and diagnostic tools of the quality...

rsvd
 Referenced in 2 articles
[sw16104]
 also widely used for computing (randomized) principal component analysis (PCA), a linear dimensionality reduction technique ... decomposition to compute the most significant principal components. This package also includes ... function to compute (randomized) robust principal component analysis (RPCA). In addition several plot functions...

Bio3d
 Referenced in 2 articles
[sw15706]
 sequence conservation analysis, normal mode analysis, principal component analysis of heterogeneous structure data, and correlation...

SpaSM
 Referenced in 3 articles
[sw23903]
 performing sparse regression, classification and principal component analysis. The toolbox has been developed...

GWmodel
 Referenced in 3 articles
[sw08531]
 summary statistics and a GW principal components analysis; (ii) advanced GW regression fits and diagnostics...