
tSNE
 Referenced in 100 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 68 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 63 articles
[sw07331]
 additive and interaction models to potentially highdimensional data...

GGobi
 Referenced in 43 articles
[sw00345]
 open source visualization program for exploring highdimensional data. It provides highly dynamic and interactive...

FAMT
 Referenced in 30 articles
[sw11123]
 FAMT) : simultaneous tests under dependence in highdimensional data. The method proposed in this package...

ARfit
 Referenced in 38 articles
[sw00046]
 efficient, in particular when the data are highdimensional. ARfit modules construct approximate confidence intervals...

WGCNA
 Referenced in 21 articles
[sw07123]
 perform Weighted Correlation Network Analysis on highdimensional data. Includes functions for rudimentary data cleaning...

GAP
 Referenced in 18 articles
[sw26294]
 matrix visualization (MV) and clustering of highdimensional data sets. It provides direct visual perception...

HDclassif
 Referenced in 15 articles
[sw11114]
 data, based on the assumption that highdimensional data live in different subspaces with...

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

uniCox
 Referenced in 14 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...

SparseFIS
 Referenced in 11 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...

WeightedPortTest
 Referenced in 11 articles
[sw12429]
 Statistical Association: We exploit ideas from highdimensional data analysis to derive new portmanteau tests...

SpectralCAT
 Referenced in 8 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...

SPECTRODE
 Referenced in 9 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...

IPSepCoLa
 Referenced in 9 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...

bartMachine
 Referenced in 9 articles
[sw10962]
 detection, model diagnostic plots, incorporation of missing data and the ability to save trees ... handling both large sample sizes and highdimensional data...

sva
 Referenced in 6 articles
[sw21306]
 identifying and building surrogate variables for highdimensional data sets. Surrogate variables are covariates constructed ... directly from highdimensional data (like gene expression/RNA sequencing/methylation/brain imaging data) that can be used...

ZIFA
 Referenced in 9 articles
[sw32141]
 gene expression analysis. Singlecell RNAseq data allows insight into normal cellular function ... cell level. Dimensionality reduction of such highdimensional data sets is essential for visualization...