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  • CGAL
  • Referenced in 384 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...

  • PMA
  • Referenced in 129 articles [sw19126]
  • Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described ... with applications to sparse principal components and canonical correlation analysis. Biostatistics...

  • SuLQ
  • Referenced in 128 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...

  • ROBPCA
  • Referenced in 68 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...

  • SODAS
  • Referenced in 70 articles [sw00885]
  • symbolic description of groups, factorial discriminant analysis, principal component analysis, histograms and elementary statistics, segmentation...

  • PCA-SIFT
  • Referenced in 81 articles [sw04592]
  • smoothed weighted histograms, we apply Principal Components Analysis (PCA) to the normalized gradient patch...

  • KPCA plus LDA
  • Referenced in 69 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...

  • Eigentaste
  • Referenced in 63 articles [sw12451]
  • common set of items and applies Principal Component Analysis (PCA) to the resulting dense subset...

  • Eigenstrat
  • Referenced in 56 articles [sw33845]
  • EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls...

  • LowRankModels
  • Referenced in 37 articles [sw27002]
  • models in data analysis, such as principal components analysis (PCA), matrix completion, robust PCA, nonnegative...

  • Pyglrm
  • Referenced in 36 articles [sw27003]
  • models in data analysis, such as principal components analysis (PCA), matrix completion, robust PCA, nonnegative...

  • refund
  • Referenced in 63 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...

  • RM-MEDA
  • Referenced in 38 articles [sw08554]
  • piecewise continuous manifold. The local principal component analysis algorithm is used for building such...

  • LIBRA
  • Referenced in 29 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...

  • mixOmics
  • Referenced in 29 articles [sw09508]
  • include: sparse PLS-Discriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition...

  • Survey
  • Referenced in 52 articles [sw08163]
  • package survey: analysis of complex survey samples. Summary statistics, two-sample tests, generalised linear models ... standardization. PPS sampling without replacement. Principal components, factor analysis...

  • Multilinear Engine
  • Referenced in 33 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...

  • missMDA
  • Referenced in 19 articles [sw08142]
  • Handling missing values with/in multivariate data analysis (principal component methods). Imputation of incomplete continuous ... Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis...

  • compositions
  • Referenced in 24 articles [sw00150]
  • statistics and plots (ternary diagrams, boxplots), principal component analysis (using biplots), cluster analysis with Aitchison...

  • shapes
  • Referenced in 18 articles [sw14500]
  • shapes, including Procrustes analysis, graphical displays, principal components analysis, permutation and bootstrap tests, thin-plate...