
Manopt
 Referenced in 97 articles
[sw08493]
 registration, independent component analysis, metric learning, dimensionality reduction and so on. The Manopt toolbox, available...

Kernlab
 Referenced in 91 articles
[sw07926]
 clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods kernlab includes Support Vector...

MULAN
 Referenced in 63 articles
[sw08062]
 variety of classification, ranking, thresholding and dimensionality reduction algorithms, as well as algorithms for learning...

Eigentaste
 Referenced in 60 articles
[sw12451]
 ratings matrix. PCA facilitates dimensionality reduction for offline clustering of users and rapid computation...

LSSVMlab
 Referenced in 26 articles
[sw07367]
 kernel spectral clustering, data visualization and dimensionality reduction, and survival analysis. For very large scale...

Isomap
 Referenced in 11 articles
[sw31686]
 global geometric framework for nonlinear dimensionality reduction. Scientists working with large volumes of highdimensional ... distributions, regularly confront the problem of dimensionality reduction: finding meaningful lowdimensional structures hidden ... describe an approach to solving dimensionality reduction problems that uses easily measured local metric information ... contrast to previous algorithms for nonlinear dimensionality reduction, ours efficiently computes a globally optimal solution...

SINDy
 Referenced in 19 articles
[sw30277]
 flow, we combine this approach with dimensionality reduction techniques (e.g. proper orthogonal decomposition) and extend ... canonical flow configurations: the twodimensional flow past a circular cylinder and the sheardriven...

VFC package
 Referenced in 16 articles
[sw16729]
 convenient system of local finitedimensional reductions. We present a general intrinsic strategy for constructing...

ZIFA
 Referenced in 8 articles
[sw32141]
 ZIFA: Dimensionality reduction for zeroinflated singlecell gene expression analysis. Singlecell ... expression on the single cell level. Dimensionality reduction of such highdimensional data sets ... data are challenging for classical dimensionalityreduction methods because of the prevalence of dropout events ... inflated data. Here, we develop a dimensionalityreduction method, (Z)ero (I)nflated (F)actor...

MDR
 Referenced in 9 articles
[sw22494]
 Multifactor dimensionality reduction software for detecting genegene and geneenvironment interactions. Motivation: Polymorphisms ... problem, we have developed a multifactor dimensionality reduction (MDR) method for collapsing highdimensional genetic...

dr
 Referenced in 6 articles
[sw11746]
 Matlab Toolbox for Dimensionality Reduction. The demonstration presents the Matlab Toolbox for Dimensionality Reduction ... stateoftheart techniques for dimensionality reduction and intrinsic dimensionality estimation. It provides implementations ... techniques for dimensionality reduction, 6 techniques for intrinsic dimensionality estimation, and additional functions ... stateoftheart techniques for dimensionality reduction...

LiteRed
 Referenced in 67 articles
[sw16341]
 heuristic search of the symbolic IBP reduction rules for loop integrals. It implements also several ... relations, construction of the differential equations and dimensional recurrence relations...

SpectralCAT
 Referenced in 8 articles
[sw18794]
 method for spectral clustering via dimensionality reduction of the transformed data is applied. This ... among them while projecting them onto lowdimensional spaces. We compare our method to several...

MADMM
 Referenced in 8 articles
[sw38277]
 application to several challenging problems in dimensionality reduction, data analysis, and manifold learning...

CIDR
 Referenced in 5 articles
[sw32140]
 cell RNAseq data. Most existing dimensionality reduction and clustering packages for singlecell ... introduce CIDR (Clustering through Imputation and Dimensionality Reduction), an ultrafast algorithm that uses a novel...

rsvd
 Referenced in 7 articles
[sw16104]
 principal component analysis (PCA), a linear dimensionality reduction technique. Randomized PCA (rpca) uses the approximated...

CutTools
 Referenced in 98 articles
[sw07230]
 present a program that implements the OPP reduction method to extract the coefficients ... rational terms coming from the 4dimensional part of the numerator. The rational pieces coming...

iFeature
 Referenced in 6 articles
[sw27776]
 four feature selection algorithms and three dimensionality reduction algorithms...

HyperTools
 Referenced in 3 articles
[sw18876]
 primary approach is to use dimensionality reduction techniques (Pearson, 1901; Tipping & Bishop, 1999) to embed ... trajectory, HyperTools uses dimensionality reduction algorithms to create similar 2D and 3D trajectories for time ... visualized as animations. These same dimensionality reduction and alignment algorithms can also reveal structure ... explore data through trajectories and lowdimensional embeddings can reveal deep insights into datasets across...

SpectralNET
 Referenced in 3 articles
[sw26161]
 several graph visualizations, including a linear dimensionality reduction for uploaded datasets (Principal Components Analysis ... linear dimensionality reduction that provides an elegant view of global graph structure (Laplacian eigenvectors). CONCLUSION ... theoretic metrics for data modeling and dimensionality reduction. SpectralNET is publicly available as both...