https://github.com/dahong67/weightedpca.jl
Optimally weighted PCA for samples with heterogeneous quality
Science Score: 49.0%
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○CITATION.cff file
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✓.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
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○Scientific vocabulary similarity
Low similarity (10.5%) to scientific vocabulary
Repository
Optimally weighted PCA for samples with heterogeneous quality
Basic Info
Statistics
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 2
- Releases: 1
Metadata Files
README.md
WeightedPCA: PCA for heterogeneous quality samples
👋 This package provides research code and work is ongoing. If you are interested in using it in your own research, *I'd love to hear from you and collaborate!** Feel free to write: hong@udel.edu*
Please cite the following paper for this technique:
David Hong, Fan Yang, Jeffrey A. Fessler, Laura Balzano. "Optimally Weighted PCA for High-Dimensional Heteroscedastic Data", SIAM Journal on Mathematics of Data Science 5:222-250, 2023. https://doi.org/10.1137/22M1470244 https://arxiv.org/abs/1810.12862
In BibTeX form:
bibtex
@Article{hyfb2023owp,
title = "Optimally Weighted {PCA} for High-Dimensional Heteroscedastic Data",
author = "David Hong and Fan Yang and Jeffrey A. Fessler and Laura Balzano",
journal = "{SIAM} Journal on Mathematics of Data Science",
year = "2023",
volume = "5",
number = "1",
pages = "222--250",
DOI = "10.1137/22M1470244",
}
Owner
- Name: David Hong
- Login: dahong67
- Kind: user
- Location: Newark, DE
- Company: University of Delaware
- Website: https://dahong.gitlab.io
- Repositories: 7
- Profile: https://github.com/dahong67
Assistant Professor in ECE
GitHub Events
Total
- Issues event: 3
- Issue comment event: 1
- Push event: 1
Last Year
- Issues event: 3
- Issue comment event: 1
- Push event: 1
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 4
- Total pull requests: 1
- Average time to close issues: about 2 months
- Average time to close pull requests: about 4 hours
- Total issue authors: 3
- Total pull request authors: 1
- Average comments per issue: 0.5
- Average comments per pull request: 1.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 3
- Pull requests: 0
- Average time to close issues: 3 months
- Average time to close pull requests: N/A
- Issue authors: 2
- Pull request authors: 0
- Average comments per issue: 0.33
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- dahong67 (2)
- JuliaTagBot (1)
- eford (1)
Pull Request Authors
- JeffFessler (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
juliahub.com: WeightedPCA
Optimally weighted PCA for samples with heterogeneous quality
- Documentation: https://docs.juliahub.com/General/WeightedPCA/stable/
- License: MIT
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Latest release: 0.1.0
published over 3 years ago
Rankings
Dependencies
- actions/checkout v2 composite
- codecov/codecov-action v2 composite
- julia-actions/cache v1 composite
- julia-actions/julia-buildpkg v1 composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite
- JuliaRegistries/TagBot v1 composite
- actions/checkout v2 composite
- julia-actions/setup-julia v1 composite
- julia-actions/RegisterAction latest composite