• 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...
  • PCA-SIFT

  • 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, MCD-regression), Principal Component Analysis (RAPCA, ROBPCA), Principal Component Regression (RPCR...
  • Multilinear Engine

  • Referenced in 23 articles [sw14430]
  • Problems, including the n-Way Parallel Factor Analysis Model. A technique for fitting multilinear ... many-dimensional data arrays is described. Principal component analysis and three-way PARAFAC factor analysis...
  • RM-MEDA

  • 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 real-valued 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, two-sample 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 PLS-Discriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition...
  • ADE-4

  • Referenced in 4 articles [sw14077]
  • include usual one-table 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...