• CGAL

  • Referenced in 344 articles [sw00118]
  • spheres, smallest enclosing ellipsoid of points, principal component analysis), and kinetic data structures. All these...
  • PMA

  • Referenced in 102 articles [sw19126]
  • Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described ... matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics...
  • SuLQ

  • Referenced in 120 articles [sw11355]
  • very few invocations of the primitive: principal component analysis, k means clustering, the Perceptron Algorithm...
  • ROBPCA

  • Referenced in 58 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...
  • PCA-SIFT

  • Referenced in 77 articles [sw04592]
  • feature detection and representation is a fundamental component of many image registration and object recognition ... smoothed weighted histograms, we apply Principal Components Analysis (PCA) to the normalized gradient patch...
  • KPCA plus LDA

  • Referenced in 69 articles [sw08766]
  • phase KFD framework, i.e., kernel principal component analysis (KPCA) plus Fisher linear discriminant analysis...
  • refund

  • Referenced in 39 articles [sw07434]
  • confidence bands for functional data using principal components. Functional principal components (FPC) analysis is widely ... implemented to understand the uncertainty in principal component decomposition quantities. Our method compares favorably...
  • SODAS

  • Referenced in 57 articles [sw00885]
  • description of groups, factorial discriminant analysis, principal component analysis, histograms and elementary statistics, segmentation tree...
  • Eigentaste

  • Referenced in 57 articles [sw12451]
  • common set of items and applies Principal Component Analysis (PCA) to the resulting dense subset...
  • softImpute

  • Referenced in 55 articles [sw12263]
  • large sparse centered matrices (i.e. principal components...
  • Eigenstrat

  • Referenced in 50 articles [sw33845]
  • EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls...
  • Survey

  • Referenced in 45 articles [sw08163]
  • direct standardization. PPS sampling without replacement. Principal components, factor analysis...
  • LIBRA

  • Referenced in 26 articles [sw10553]
  • estimation (MCD), regression (LTS, MCD-regression), Principal Component Analysis (RAPCA, ROBPCA), Principal Component Regression (RPCR...
  • pls

  • Referenced in 26 articles [sw04365]
  • package pls: Partial Least Squares and Principal Component regression , Multivariate regression methods Partial Least Squares ... Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS...
  • MNM

  • Referenced in 35 articles [sw06075]
  • estimation and testing, linear regression and principal components...
  • Multilinear Engine

  • Referenced in 28 articles [sw14430]
  • many-dimensional data arrays is described. Principal component analysis and three-way PARAFAC factor analysis...
  • RM-MEDA

  • Referenced in 24 articles [sw08554]
  • piecewise continuous manifold. The local principal component analysis algorithm is used for building such...
  • mixOmics

  • Referenced in 22 articles [sw09508]
  • include: sparse PLS-Discriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition...
  • missMDA

  • Referenced in 14 articles [sw08142]
  • missing values with/in multivariate data analysis (principal component methods). Imputation of incomplete continuous or categorical ... Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis...
  • LowRankModels

  • Referenced in 19 articles [sw27002]
  • models in data analysis, such as principal components analysis (PCA), matrix completion, robust PCA, nonnegative...