
tSNE
 Referenced in 159 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 67 articles
[sw07331]
 additive and interaction models to potentially highdimensional data...

GGobi
 Referenced in 47 articles
[sw00345]
 open source visualization program for exploring highdimensional data. It provides highly dynamic and interactive...

FAMT
 Referenced in 32 articles
[sw11123]
 FAMT) : simultaneous tests under dependence in highdimensional data. The method proposed in this package...

WGCNA
 Referenced in 25 articles
[sw07123]
 perform Weighted Correlation Network Analysis on highdimensional data. Includes functions for rudimentary data cleaning...

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

HDclassif
 Referenced in 19 articles
[sw11114]
 data, based on the assumption that highdimensional data live in different subspaces with...

GAP
 Referenced in 19 articles
[sw26294]
 matrix visualization (MV) and clustering of highdimensional data sets. It provides direct visual perception...

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...

ZIFA
 Referenced in 13 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...

robustHD
 Referenced in 8 articles
[sw14244]
 robustHD: Robust Methods for HighDimensional Data. Robust methods for highdimensional data, in particular...

SPECTRODE
 Referenced in 11 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...

FALCONN
 Referenced in 12 articles
[sw26631]
 Python wrapper for similarity search over highdimensional data. It supports cosine similarity...

WeightedPortTest
 Referenced in 12 articles
[sw12429]
 Statistical Association: We exploit ideas from highdimensional data analysis to derive new portmanteau tests...

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...

LargeVis
 Referenced in 6 articles
[sw34905]
 LargeVis: Visualizing Largescale and Highdimensional Data. We study the problem of visualizing large ... scale and highdimensional data in a lowdimensional (typically 2D or 3D) space. Much ... from scaling to largescale and highdimensional data (e.g., millions of data points ... thus easily scales to millions of highdimensional data points. Experimental results on realworld...

JIVE
 Referenced in 17 articles
[sw09511]
 data sets in which multiple highdimensional types of data are available for a common...

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...