• FastICA

  • Referenced in 208 articles [sw07225]
  • fast fixed-point algorithm for independent component analysis and projection pursuit. It features an easy...
  • ICALAB

  • Referenced in 108 articles [sw15047]
  • number of efficient algorithms for ICA (independent component analysis) employing HOS (higher order statistics...
  • Manopt

  • Referenced in 87 articles [sw08493]
  • sensor network localization, camera network registration, independent component analysis, metric learning, dimensionality reduction...
  • EEGLAB

  • Referenced in 53 articles [sw07368]
  • single-trial EEG dynamics including independent component analysis. EEGLAB is an interactive Matlab toolbox ... other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics...
  • mixOmics

  • Referenced in 29 articles [sw09508]
  • developments include: sparse PLS-Discriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance...
  • AnalyzeFMRI

  • Referenced in 12 articles [sw19796]
  • Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package ... statistical analysis of functional Magnetic Resonance Imaging (fMRI) data sets, we propose ... data-driven approach based on Independent Component Analysis (ICA) implemented in a new version ... proposed. However, for some neuroscientific applications, temporal independence of source signals can be assumed...
  • mdp

  • Referenced in 9 articles [sw14129]
  • includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning...
  • fastICA

  • Referenced in 11 articles [sw04584]
  • Implementation of FastICA algorithm to perform Independent Component Analysis (ICA) and Projection Pursuit...
  • CuBICA

  • Referenced in 7 articles [sw21491]
  • CuBICA: Independent component analysis by simultaneous third- and fourth-order cumulant diagonalization. CuBICA, which ... improved method for independent component analysis (ICA) based on the diagonalization of cumulant tensors...
  • ERPWAVELAB

  • Referenced in 8 articles [sw13140]
  • single-trial EEG dynamics including independent component analysis. J Neurosci Meth...
  • Bubbles

  • Referenced in 8 articles [sw08870]
  • Bayesian inference. The fundamental model is independent component analysis, which can be estimated by maximization...
  • OpenAD/F

  • Referenced in 23 articles [sw09380]
  • Fortran code resulting from the analysis and transformation of the original program that defines ... flexibility, and the use of open source components. While the code transformation follows the basic ... most other automatic differentiation tools, Open/ADF uses components provided by the Open/AD framework, which supports ... language-independent fashion. It uses code analysis results implemented in the OpenAnalysis component. The interface...
  • fastHICA

  • Referenced in 4 articles [sw30151]
  • package fastHICA: Hierarchical Independent Component Analysis: a Multi-Scale Sparse Non-Orthogonal Data-Driven Basis ... implements HICA (Hierarchical Independent Component Analysis) algorithm. This approach, obtained through the integration between treelets ... Independent Component Analysis, is able to provide a multi-scale non-orthogonal data-driven basis...
  • TVICA

  • Referenced in 6 articles [sw25995]
  • TVICA: Time varying independent component analysis and its applications to financial data. A new method...
  • gNCA

  • Referenced in 4 articles [sw08821]
  • such as principal component analysis or independent component analysis, NCA makes use of the connectivity...
  • ica

  • Referenced in 2 articles [sw23404]
  • package ica: Independent Component Analysis. Independent Component Analysis (ICA) using various algorithms: FastICA, Information-Maximization...
  • GHICA

  • Referenced in 7 articles [sw25996]
  • GHICA - Risk analysis with GH distributions and independent components. Over recent years, a study ... multivariate risk analysis. The idea is to first retrieve independent components...
  • dyndimred

  • Referenced in 2 articles [sw33012]
  • such as Principal Component Analysis (’PCA’), Independent Component Analysis (’ICA’), diffusion maps, Locally-Linear Embedding...
  • ICtest

  • Referenced in 2 articles [sw36426]
  • methods like principal components analysis (PCA), independent components analysis (ICA) and supervised linear dimension reduction...
  • GIFT

  • Referenced in 3 articles [sw19798]
  • toolbox which implements multiple algorithms for independent component analysis of group magneto resonance imaging data...