
CGAL
 Referenced in 216 articles
[sw00118]
 neighbor interpolation and placement of streamlines), shape analysis, fitting, and distances (smallest enclosing sphere ... spheres, smallest enclosing ellipsoid of points, principal component analysis), and kinetic data structures. All these...

KPCA plus LDA
 Referenced in 61 articles
[sw08766]
 examines the theory of kernel Fisher discriminant analysis (KFD) in a Hilbert space and develops ... phase KFD framework, i.e., kernel principal component analysis (KPCA) plus Fisher linear discriminant analysis...

PCASIFT
 Referenced in 62 articles
[sw04592]
 smoothed weighted histograms, we apply Principal Components Analysis (PCA) to the normalized gradient patch...

SODAS
 Referenced in 40 articles
[sw00885]
 symbolic description of groups, factorial discriminant analysis, principal component analysis, histograms and elementary statistics, segmentation...

ROBPCA
 Referenced in 37 articles
[sw11592]
 ROBPCA: A New Approach to Robust Principal Component Analysis. We introduce a new method ... robust principal component analysis (PCA). Classical PCA is based on the empirical covariance matrix...

Eigentaste
 Referenced in 42 articles
[sw12451]
 common set of items and applies Principal Component Analysis (PCA) to the resulting dense subset...

LIBRA
 Referenced in 21 articles
[sw10553]
 LIBRA. LIBRA: a MATLAB Library for Robust Analysis is developed at ROBUST@Leuven, the research ... estimation (MCD), regression (LTS, MCDregression), Principal Component Analysis (RAPCA, ROBPCA), Principal Component Regression (RPCR...

Multilinear Engine
 Referenced in 23 articles
[sw14430]
 Problems, including the nWay Parallel Factor Analysis Model. A technique for fitting multilinear ... manydimensional data arrays is described. Principal component analysis and threeway PARAFAC factor analysis...

RMMEDA
 Referenced in 17 articles
[sw08554]
 piecewise continuous manifold. The local principal component analysis algorithm is used for building such...

SuLQ
 Referenced in 16 articles
[sw11355]
 ways. First, we modify the privacy analysis to realvalued functions f and arbitrary ... very few invocations of the primitive: principal component analysis, k means clustering, the Perceptron Algorithm...

Statistics Toolbox
 Referenced in 14 articles
[sw10157]
 simulations, use statistical plots for exploratory data analysis, and perform hypothesis tests. For analyzing multidimensional ... feature selection, transform your data with principal component analysis, apply regularization and shrinkage...

Survey
 Referenced in 15 articles
[sw08163]
 survey: analysis of complex survey samples. Summary statistics, twosample tests, generalised linear models, cumulative ... standardization. PPS sampling without replacement. Principal components, factor analysis...

compositions
 Referenced in 7 articles
[sw00150]
 statistics and plots (ternary diagrams, boxplots), principal component analysis (using biplots), cluster analysis with Aitchison...

mixOmics
 Referenced in 5 articles
[sw09508]
 include: sparse PLSDiscriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition...

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...

mdp
 Referenced in 6 articles
[sw14129]
 increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis...

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...

refund
 Referenced in 8 articles
[sw07434]
 data using principal components Functional principal components (FPC) analysis is widely used to decompose ... implemented to understand the uncertainty in principal component decomposition quantities. Our method compares favorably...

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