• Manopt

  • Referenced in 83 articles [sw08493]
  • registration, independent component analysis, metric learning, dimensionality reduction and so on. The Manopt toolbox, available...
  • Kernlab

  • Referenced in 82 articles [sw07926]
  • clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods kernlab includes Support Vector...
  • Eigentaste

  • Referenced in 58 articles [sw12451]
  • ratings matrix. PCA facilitates dimensionality reduction for offline clustering of users and rapid computation...
  • MULAN

  • Referenced in 56 articles [sw08062]
  • variety of classification, ranking, thresholding and dimensionality reduction algorithms, as well as algorithms for learning...
  • LS-SVMlab

  • Referenced in 25 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 high-dimensional ... distributions, regularly confront the problem of dimensionality reduction: finding meaningful low-dimensional 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 16 articles [sw30277]
  • flow, we combine this approach with dimensionality reduction techniques (e.g. proper orthogonal decomposition) and extend ... canonical flow configurations: the two-dimensional flow past a circular cylinder and the shear-driven...
  • VFC package

  • Referenced in 15 articles [sw16729]
  • convenient system of local finite-dimensional reductions. We present a general intrinsic strategy for constructing...
  • ZIFA

  • Referenced in 7 articles [sw32141]
  • ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis. Single-cell ... expression on the single cell level. Dimensionality reduction of such high-dimensional data sets ... data are challenging for classical dimensionality-reduction methods because of the prevalence of dropout events ... inflated data. Here, we develop a dimensionality-reduction method, (Z)ero (I)nflated (F)actor...
  • dr

  • Referenced in 6 articles [sw11746]
  • Matlab Toolbox for Dimensionality Reduction. The demonstration presents the Matlab Toolbox for Dimensionality Reduction ... state-of-the-art techniques for dimensionality reduction and intrinsic dimensionality estimation. It provides implementations ... techniques for dimensionality reduction, 6 techniques for intrinsic dimensionality estimation, and additional functions ... state-of-the-art techniques for dimensionality reduction...
  • LiteRed

  • Referenced in 65 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...
  • MDR

  • Referenced in 6 articles [sw22494]
  • Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Motivation: Polymorphisms ... problem, we have developed a multifactor dimensionality reduction (MDR) method for collapsing high-dimensional genetic...
  • 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 low-dimensional spaces. We compare our method to several...
  • CutTools

  • Referenced in 97 articles [sw07230]
  • present a program that implements the OPP reduction method to extract the coefficients ... rational terms coming from the 4-dimensional part of the numerator. The rational pieces coming...
  • rsvd

  • Referenced in 6 articles [sw16104]
  • principal component analysis (PCA), a linear dimensionality reduction technique. Randomized PCA (rpca) uses the approximated...
  • CIDR

  • Referenced in 4 articles [sw32140]
  • cell RNA-seq data. Most existing dimensionality reduction and clustering packages for single-cell ... introduce CIDR (Clustering through Imputation and Dimensionality Reduction), an ultrafast algorithm that uses a novel...
  • 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...
  • iFeature

  • Referenced in 5 articles [sw27776]
  • four feature selection algorithms and three dimensionality reduction algorithms...
  • GoSam

  • Referenced in 27 articles [sw07310]
  • using either D-dimensional integrand-level decomposition or by tensor reduction. GoSam can be used...
  • FST

  • Referenced in 4 articles [sw25371]
  • classical and new methods suitable for dimensionality reduction, classification and data representation. Examples of solved...