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iTensor

iTensor: An R package for independent component analysis-based matrix/tensor decomposition - Published in JOSS (2023)

https://github.com/rikenbit/itensor

Science Score: 93.0%

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    Found 1 DOI reference(s) in JOSS metadata
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Last synced: 6 months ago · JSON representation

Repository

R package for ICA-based Matrix/Tensor Decomposition

Basic Info
  • Host: GitHub
  • Owner: rikenbit
  • License: other
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 1.97 MB
Statistics
  • Stars: 1
  • Watchers: 4
  • Forks: 1
  • Open Issues: 0
  • Releases: 3
Created over 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme Contributing License Code of conduct

README.md

DOI CRAN_Status_Badge Downloads Total Downloads :name status badge :registry status badge :total status badge iTensor status badge GitHub Actions status

iTensor

ICA-based Matrix/Tensor Decomposition

Installation

~~~~ git clone https://github.com/rikenbit/iTensor/ R CMD INSTALL iTensor ~~~~ or type the code below in the R console window ~~~~ library(devtools) devtools::install_github("rikenbit/iTensor") ~~~~

References

  • ICA
    • InfoMax
    • Bell, A. J. et al., An information-maximization approach to blind separation and blind deconvolution. Neural computation, 7(6), 1129-1159, 1995
    • Amari, S. et al., A new learning algorithm for blind signal separation. NIPS 1995, 1995
    • ExtInfoMax
    • Lee, T. W., et al., Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. Neural computation, 11(2), 417-441, 1999
    • FastICA
    • Hyvarinen, A. Fast and robust fixed-point algorithms for independent component analysis. IEEE transactions on Neural Networks, 10(3), 626-634, 1999
    • JADE
    • Cardoso, J. F. et al., Blind beamforming for non-gaussian signals, IEE Proceedings F, 140(6), 362-370, 1993
    • AuxICA1/2
    • Ono, N. et al., Auxiliary-Function-Based Independent Component Analysis for Super-Gaussian Sources, Lecture Notes in Computer Science, 6365, 165-172, 2010
    • IPCA
    • Yao, F. et al., Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets, BMC Bioinformatics, 13(24), 2012
    • SIMBEC
    • Cruces, S. et al., Criteria for the simultaneous blind extraction of arbitrary groups of sources, International Conference on ICA and BSS, 740-745, 2001
    • AMUSE
    • Tong, L. et al., Indeterminacy and identifiability of blind identification, IEEE Transactions on Circuits and Systems, 38(5), 499-509, 1991
    • SOBI
    • Belouchrani, A. et al., A blind source separation technique using second-order statistics, IEEE Transactions on Signal Processing, 45(2), 434-444, 1997
    • FOBI
    • Cardoso, J.-F. et al., Source separation using higher order moments, International Conference on Acoustics, Speech, and Signal Processing, 4, 2109-2112, 1989
    • ProDenICA
    • Hastie, T. et al., Independent Components Analysis through Product Density Estimation, NIPS 2002, 2002
    • RICA
    • Le, Q. et al., ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning, NIPS 2011, 2011
  • GroupICA
    • Calhourn V. D. et al, A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data. Neuroimage. 45(1 Suppl), S163-72, 2009
    • Pfister, N. et al., groupICA: Independent component analysis for grouped data. arXiv, 2018
  • MICA
    • Akaho, S. et al., MICA: Multimodal independent component analysis. IJCNN'99, 2, 927-932, 1999
  • MultilinearICA
    • Vasilescu, M. A. O. et al., Multilinear Independent Component Analysis, IEEE CVPR 2005, 2005
  • CorrIndex
    • Sobhani, E. et al., CorrIndex: a permutation invariant performance index, Signal Processing, 195, 108457, 2022

Contributing

If you have suggestions for how iTensor could be improved, or want to report a bug, open an issue! We'd love all and any contributions.

For more, check out the Contributing Guide.

Authors

  • Koki Tsuyuzaki

Owner

  • Name: RIKEN BiT
  • Login: rikenbit
  • Kind: organization
  • Location: Japan

Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Research

JOSS Publication

iTensor: An R package for independent component analysis-based matrix/tensor decomposition
Published
July 07, 2023
DOI
Volume 8, Issue 87, Page 5496
Authors
Koki Tsuyuzaki ORCID
Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Japan, Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Research, Japan
Editor
Øystein Sørensen ORCID
Tags
independent component analysis multimodal independent component analysis group independent component analysis multilinear independent component analysis dimension reduction
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Last synced: 7 months ago

All Time
  • Total Commits: 31
  • Total Committers: 4
  • Avg Commits per committer: 7.75
  • Development Distribution Score (DDS): 0.161
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
koki k****r@h****p 26
Evaristo Rojas • GECI e****s@i****x 2
露崎弘毅 k****i@d****p 2
Øystein Sørensen o****n@h****m 1
Committer Domains (Top 20 + Academic)
dhcp32-179.cdb.riken.go.jp: 1 islas.org.mx: 1 hotmail.co.jp: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 8
  • Total pull requests: 4
  • Average time to close issues: 3 days
  • Average time to close pull requests: about 22 hours
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 1.63
  • Average comments per pull request: 0.25
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • osorensen (4)
  • devarops (2)
  • ritika-giri (1)
Pull Request Authors
  • osorensen (2)
  • devarops (1)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 209 last-month
  • Total docker downloads: 162
  • Total dependent packages: 1
  • Total dependent repositories: 1
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: iTensor

ICA-Based Matrix/Tensor Decomposition

  • Versions: 3
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 209 Last month
  • Docker Downloads: 162
Rankings
Dependent packages count: 18.1%
Forks count: 21.0%
Dependent repos count: 24.0%
Docker downloads count: 25.8%
Stargazers count: 30.9%
Average: 31.2%
Downloads: 67.5%
Maintainers (1)
k.t.the-answer@hotmail.co.jp
Last synced: 6 months ago