
tSNE
 Referenced in 66 articles
[sw22300]
 technique called ”tSNE” that visualizes highdimensional data by giving each datapoint a location ... scales. This is particularly important for highdimensional data that lie on several different...

rda
 Referenced in 70 articles
[sw06091]
 Analysis for the classification purpose in high dimensional data...

ROBPCA
 Referenced in 54 articles
[sw11592]
 empirical covariance matrix of the data and hence is highly sensitive to outlying observations ... limited to relatively lowdimensional data. The second approach is based ... projection pursuit and can handle highdimensional data. Here we propose the ROBPCA approach, which...

mboost
 Referenced in 50 articles
[sw07331]
 additive and interaction models to potentially highdimensional data...

GGobi
 Referenced in 40 articles
[sw00345]
 open source visualization program for exploring highdimensional data. It provides highly dynamic and interactive...

CoCoA
 Referenced in 585 articles
[sw00143]
 operations on multivaraiate polynomials and on various data related to them (ideals, modules, matrices, rational ... ideal, the ideal of zerodimensional schemes, Poincare’ series and Hilbert functions, factorization of polynomials ... further enhanced by the dedicated highlevel programming language. For convenience, the system offers...

LAS
 Referenced in 16 articles
[sw17180]
 Finding large average submatrices in high dimensional data. The search for samplevariable associations ... problem in the exploratory analysis of high dimensional data. Biclustering methods search for samplevariable ... 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...

FAMT
 Referenced in 25 articles
[sw11123]
 FAMT) : simultaneous tests under dependence in highdimensional data. The method proposed in this package ... dependence on the multiple testing procedures for highthroughput data as proposed by Friguet...

HDclassif
 Referenced in 14 articles
[sw11114]
 analysis and data clustering methods for high dimensional data, based on the assumption that high...

mixOmics
 Referenced in 19 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...

huge
 Referenced in 30 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 datadependent model selection...

GAP
 Referenced in 15 articles
[sw26294]
 matrix visualization (MV) and clustering of highdimensional data sets. It provides direct visual perception...

ARfit
 Referenced in 33 articles
[sw00046]
 efficient, in particular when the data are highdimensional. ARfit modules construct approximate confidence intervals...

WGCNA
 Referenced in 15 articles
[sw07123]
 perform Weighted Correlation Network Analysis on highdimensional data. Includes functions for rudimentary data cleaning...

funHDDC
 Referenced in 14 articles
[sw11130]
 data which adapts the clustering method high dimensional data clustering (HDDC), originally proposed...

SOM_PAK
 Referenced in 23 articles
[sw15446]
 codebook vectors into a highdimensional input data space to approximate to its data sets...

ranger
 Referenced in 10 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...

uniCox
 Referenced in 12 articles
[sw19131]
 model.. Especially useful for highdimensional data, including microarray data...

Isomap
 Referenced in 11 articles
[sw31686]
 Scientists working with large volumes of highdimensional data, such as global climate patterns, stellar ... problem of dimensionality reduction: finding meaningful lowdimensional structures hidden in their highdimensional observations ... everyday perception, extracting from its highdimensional sensory inputs30,000 auditory nerve fibers ... Here we describe an approach to solving dimensionality reduction problems that uses easily measured local...

hgam
 Referenced in 73 articles
[sw11201]
 sparsitysmoothness penalty for highdimensional generalized additive models. The combination of sparsity and smoothness ... well as performance for finitesample data. We present a computationally efficient algorithm, with provable ... asymptotic optimality of our estimator for high dimensional but sparse additive models. Finally, an adaptive...