
tSNE
 Referenced in 44 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...

ROBPCA
 Referenced in 48 articles
[sw11592]
 matrix of the data and hence is highly sensitive to outlying observations. Two robust approaches ... projection pursuit and can handle highdimensional data. Here we propose the ROBPCA approach, which...

mboost
 Referenced in 48 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...

FAMT
 Referenced in 23 articles
[sw11123]
 FAMT) : simultaneous tests under dependence in highdimensional data. The method proposed in this package...

ARfit
 Referenced in 32 articles
[sw00046]
 efficient, in particular when the data are highdimensional. ARfit modules construct approximate confidence intervals...

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

WGCNA
 Referenced in 14 articles
[sw07123]
 perform Weighted Correlation Network Analysis on highdimensional data. Includes functions for rudimentary data cleaning...

GAP
 Referenced in 12 articles
[sw26294]
 matrix visualization (MV) and clustering of highdimensional data sets. It provides direct visual perception...

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

HDclassif
 Referenced in 9 articles
[sw11114]
 data, based on the assumption that highdimensional data live in different subspaces with...

SparseFIS
 Referenced in 10 articles
[sw13736]
 this paper, we deal with a novel datadriven learning method [sparse fuzzy inference systems ... evaluated, which is based on highdimensional data from industrial processes and based on benchmark...

SpectralCAT
 Referenced in 7 articles
[sw18794]
 required for most realworld applications data to handle both feature types and their ... called SpectralCAT, for unsupervised clustering of highdimensional data that contains numerical or nominal ... suggest to automatically transform the highdimensional input data into categorical values. This is done...

WeightedPortTest
 Referenced in 9 articles
[sw12429]
 Statistical Association: We exploit ideas from highdimensional data analysis to derive new portmanteau tests...

IPSepCoLa
 Referenced in 8 articles
[sw09789]
 utility of our technique with sample data from a number of practical applications including gene ... networks, terrorist networks and visualization of highdimensional data...

SPECTRODE
 Referenced in 6 articles
[sw13984]
 behavior of statistical methods under highdimensional asymptotics. However, the applicability of the framework ... data is a sample from a multivariate distribution with a given covariance matrix. Under high ... dimensional asymptotics, there is a deterministic map from the distribution of eigenvalues of the population ... broaden the use of RMT in highdimensional data analysis...

bartMachine
 Referenced in 6 articles
[sw10962]
 detection, model diagnostic plots, incorporation of missing data and the ability to save trees ... handling both large sample sizes and highdimensional data...

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...

varSelRF
 Referenced in 6 articles
[sw08253]
 highlycorrelated variables). Main applications in highdimensional data (e.g., microarray data, and other genomics...

RSPOP
 Referenced in 6 articles
[sw02562]
 rules and computational complexity arising from highdimensional data. This decreases the interpretability...