• t-SNE

  • Referenced in 95 articles [sw22300]
  • technique called ”t-SNE” that visualizes high-dimensional data by giving each datapoint a location ... scales. This is particularly important for high-dimensional data that lie on several different...
  • rda

  • Referenced in 83 articles [sw06091]
  • Analysis for the classification purpose in high dimensional data...
  • ROBPCA

  • Referenced in 67 articles [sw11592]
  • empirical covariance matrix of the data and hence is highly sensitive to outlying observations ... limited to relatively low-dimensional data. The second approach is based ... projection pursuit and can handle high-dimensional data. Here we propose the ROBPCA approach, which...
  • mboost

  • Referenced in 61 articles [sw07331]
  • additive and interaction models to potentially high-dimensional data...
  • GGobi

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

  • Referenced in 29 articles [sw14498]
  • Fast Implementation of Random Forests for High Dimensional Data in C++ and R. We introduce ... fast implementation of random forests for high dimensional data. Ensembles of classification, regression and survival...
  • CoCoA

  • Referenced in 631 articles [sw00143]
  • operations on multivaraiate polynomials and on various data related to them (ideals, modules, matrices, rational ... ideal, the ideal of zero-dimensional schemes, Poincare’ series and Hilbert functions, factorization of polynomials ... further enhanced by the dedicated high-level programming language. For convenience, the system offers...
  • mixOmics

  • Referenced in 29 articles [sw09508]
  • integrative techniques and variants to analyse highly dimensional data sets: regularized CCA and sparse ... samples or individuals n. These data may come from high throughput technologies, such as omics...
  • FAMT

  • Referenced in 29 articles [sw11123]
  • FAMT) : simultaneous tests under dependence in high-dimensional data. The method proposed in this package ... dependence on the multiple testing procedures for high-throughput data as proposed by Friguet...
  • LAS

  • Referenced in 18 articles [sw17180]
  • Finding large average submatrices in high dimensional data. The search for sample-variable associations ... problem in the exploratory analysis of high dimensional data. Biclustering methods search for sample-variable ... form of distinguished submatrices of the data matrix. (The rows and columns of a submatrix ... discovery of biologically relevant structures in high dimensional data. Software is available...
  • HDclassif

  • Referenced in 15 articles [sw11114]
  • analysis and data clustering methods for high dimensional data, based on the assumption that high...
  • funHDDC

  • Referenced in 19 articles [sw11130]
  • data which adapts the clustering method high dimensional data clustering (HDDC), originally proposed...
  • huge

  • Referenced in 37 articles [sw08466]
  • functions for estimating high dimensional undirected graphs from data. This package implements recent results ... fitting high dimensional semiparametric Gaussian copula models; (3) more functions like data-dependent model selection...
  • WGCNA

  • Referenced in 19 articles [sw07123]
  • perform Weighted Correlation Network Analysis on high-dimensional data. Includes functions for rudimentary data cleaning...
  • GAP

  • Referenced in 18 articles [sw26294]
  • matrix visualization (MV) and clustering of high-dimensional data sets. It provides direct visual perception...
  • ARfit

  • Referenced in 38 articles [sw00046]
  • efficient, in particular when the data are high-dimensional. ARfit modules construct approximate confidence intervals...
  • SOM_PAK

  • Referenced in 23 articles [sw15446]
  • codebook vectors into a high-dimensional input data space to approximate to its data sets...
  • uniCox

  • Referenced in 14 articles [sw19131]
  • model.. Especially useful for high-dimensional data, including microarray data...
  • gamboostLSS

  • Referenced in 13 articles [sw16111]
  • shape and scale (’GAMLSS’) to potentially high dimensional data...
  • SimBa

  • Referenced in 9 articles [sw28063]
  • topological data analysis, a point cloud data P extracted from a metric space is often ... short of scaling well, especially for high dimensional data. In this paper, we investigate ... variety of low and high dimensional data sets. We show that our strategy presents...