How to reduce dimension with PCA and random projections?
- DOI
- 10.1109/tit.2021.3112821
- Published
- 2021 Dec
- Container
- IEEE transactions on information theory
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1109/tit.2021.3112821,
title = {How to reduce dimension with PCA and random projections?},
author = {Yang F and Liu S and Dobriban E and Woodruff DP},
year = {2021},
journal = {IEEE transactions on information theory},
doi = {10.1109/tit.2021.3112821},
url = {https://doi.org/10.1109/tit.2021.3112821}
}RIS
TY - JOUR TI - How to reduce dimension with PCA and random projections? AU - Yang F AU - Liu S AU - Dobriban E AU - Woodruff DP PY - 2021 JO - IEEE transactions on information theory DO - 10.1109/tit.2021.3112821 UR - https://doi.org/10.1109/tit.2021.3112821 ER -
APA
F, Y., S, L., E, D., & DP, W. (2021). How to reduce dimension with PCA and random projections?. IEEE transactions on information theory. https://doi.org/10.1109/tit.2021.3112821
Source records
- pubmed · retrieved 2026-09-25T17:21:23.645Z