• t-SNE

  • Referenced in 159 articles [sw22300]
  • technique called ”t-SNE” that visualizes high-dimensional data by giving each datapoint a location ... scales. This is particularly important for high-dimensional 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 high-dimensional data. Here we propose the ROBPCA approach, which...
  • mboost

  • Referenced in 67 articles [sw07331]
  • additive and interaction models to potentially high-dimensional data...
  • GGobi

  • Referenced in 47 articles [sw00345]
  • open source visualization program for exploring high-dimensional data. It provides highly dynamic and interactive...
  • FAMT

  • Referenced in 32 articles [sw11123]
  • FAMT) : simultaneous tests under dependence in high-dimensional data. The method proposed in this package...
  • WGCNA

  • Referenced in 25 articles [sw07123]
  • perform Weighted Correlation Network Analysis on high-dimensional data. Includes functions for rudimentary data cleaning...
  • ARfit

  • Referenced in 38 articles [sw00046]
  • efficient, in particular when the data are high-dimensional. ARfit modules construct approximate confidence intervals...
  • HDclassif

  • Referenced in 19 articles [sw11114]
  • data, based on the assumption that high-dimensional data live in different subspaces with...
  • GAP

  • Referenced in 19 articles [sw26294]
  • matrix visualization (MV) and clustering of high-dimensional data sets. It provides direct visual perception...
  • SOM_PAK

  • Referenced in 23 articles [sw15446]
  • codebook vectors into a high-dimensional input data space to approximate to its data sets...
  • uniCox

  • Referenced in 14 articles [sw19131]
  • model.. Especially useful for high-dimensional data, including microarray data...
  • ZIFA

  • Referenced in 13 articles [sw32141]
  • gene expression analysis. Single-cell RNA-seq data allows insight into normal cellular function ... cell level. Dimensionality reduction of such high-dimensional data sets is essential for visualization...
  • robustHD

  • Referenced in 8 articles [sw14244]
  • robustHD: Robust Methods for High-Dimensional Data. Robust methods for high-dimensional data, in particular...
  • SPECTRODE

  • Referenced in 11 articles [sw13984]
  • behavior of statistical methods under high-dimensional 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 high-dimensional data analysis...
  • FALCONN

  • Referenced in 12 articles [sw26631]
  • Python wrapper for similarity search over high-dimensional data. It supports cosine similarity...
  • WeightedPortTest

  • Referenced in 12 articles [sw12429]
  • Statistical Association: We exploit ideas from high-dimensional data analysis to derive new portmanteau tests...
  • Isomap

  • Referenced in 11 articles [sw31686]
  • Scientists working with large volumes of high-dimensional data, such as global climate patterns, stellar ... problem of dimensionality reduction: finding meaningful low-dimensional structures hidden in their high-dimensional observations ... everyday perception, extracting from its high-dimensional sensory inputs-30,000 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 Large-scale and High-dimensional Data. We study the problem of visualizing large ... scale and high-dimensional data in a low-dimensional (typically 2D or 3D) space. Much ... from scaling to large-scale and high-dimensional data (e.g., millions of data points ... thus easily scales to millions of high-dimensional data points. Experimental results on real-world...
  • JIVE

  • Referenced in 17 articles [sw09511]
  • data sets in which multiple high-dimensional types of data are available for a common...
  • SparseFIS

  • Referenced in 11 articles [sw13736]
  • this paper, we deal with a novel data-driven learning method [sparse fuzzy inference systems ... evaluated, which is based on high-dimensional data from industrial processes and based on benchmark...