• t-SNE

  • Referenced in 88 articles [sw22300]
  • technique called ”t-SNE” that visualizes high-dimensional data by giving each datapoint a location ... three-dimensional map. The technique is a variation of Stochastic Neighbor Embedding (Hinton and Roweis ... scales. This is particularly important for high-dimensional data that lie on several different...
  • hgam

  • Referenced in 73 articles [sw11201]
  • package hgam: High-dimensional Additive Modelling. We propose a new sparsity-smoothness penalty for high...
  • HdBCS

  • Referenced in 76 articles [sw29884]
  • HdBCS - High-dimensional Bayesian Covariance Selection. This site provides C++ code software implementing...
  • ROBPCA

  • Referenced in 66 articles [sw11592]
  • matrix of the data and hence is highly sensitive to outlying observations. Two robust approaches ... projection pursuit and can handle high-dimensional data. Here we propose the ROBPCA approach, which...
  • mboost

  • Referenced in 60 articles [sw07331]
  • additive and interaction models to potentially high-dimensional data...
  • TT Toolbox

  • Referenced in 46 articles [sw12627]
  • parametric representation of high-dimensional tensors. The TT-Toolbox is a MATLAB implementation of basic...
  • GGobi

  • Referenced in 43 articles [sw00345]
  • open source visualization program for exploring high-dimensional data. It provides highly dynamic and interactive...
  • ARfit

  • Referenced in 37 articles [sw00046]
  • particular when the data are high-dimensional. ARfit modules construct approximate confidence intervals...
  • huge

  • Referenced in 36 articles [sw08466]
  • huge package for high-dimensional undirected graph estimation in R. We describe an R package...
  • PicToSeek

  • Referenced in 36 articles [sw14897]
  • shape invariants into a unified high-dimensional invariant feature set for discriminatory object retrieval. Experiments...
  • XGobi

  • Referenced in 32 articles [sw11752]
  • projections of points and lines in high-dimensional spaces, as well as parallel coordinate displays...
  • LOBPCG

  • Referenced in 30 articles [sw09638]
  • Preconditioned low-rank methods for high-dimensional elliptic PDE eigenvalue problems. We consider elliptic...
  • SSS

  • Referenced in 30 articles [sw07794]
  • explores ”interesting” regions of the resulting high-dimensional model spaces and quickly identifies regions...
  • PDDE-CONT

  • Referenced in 28 articles [sw08419]
  • which has a continuous symmetry), a high-dimensional traffic model, a (regularized) nonsmooth model...
  • FAMT

  • Referenced in 28 articles [sw11123]
  • FAMT) : simultaneous tests under dependence in high-dimensional data. The method proposed in this package...
  • CMARS

  • Referenced in 26 articles [sw08523]
  • MARS) especially is very useful for high-dimensional problems and fitting nonlinear multivariate functions...
  • scout

  • Referenced in 25 articles [sw12062]
  • Covariance-regularized regression and classification for high-dimensional problems”, by Witten and Tibshirani (2008), Journal...
  • subplex

  • Referenced in 25 articles [sw04818]
  • algorithm well suited for optimization of high-dimensional noisy functions...
  • hdi

  • Referenced in 16 articles [sw22818]
  • package hdi: High-Dimensional Inference. Implementation of multiple approaches to perform inference in high-dimensional...