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Approximating the span of principal components via iterative least-squares

Applied and Computational Harmonic Analysis(2022)10.1016/j.acha.2022.11.006Source: DataRank Database

Approximating the span of principal components via iterative least-squares is a research paper published in Applied and Computational Harmonic Analysis (2022). On theSindex it has a DataRank of 0. It has been cited 3 times.

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3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.09)OA: closedTopics (20)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Barak Sober ORCID,Yariv Aizenbud ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W2965004024

Foundation for the National Institutes of Health

Grant: R01GM131642

Simons Foundation

Grant: 400837

FWCI

0.09

Citation Percentile

0.3%

Citation Trend

2020

2021

2025

closedLicense: http://www.elsevier.com/open-access/userlicense/1.0/

publisherhttps://api.elsevier.com/content/article/PII:S1063520322000963?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1063520322000963?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.acha.2022.11.006

Fields of Study

Spectroscopy and Chemometric AnalysesSensory Analysis and Statistical MethodsFace and Expression Recognition

Keywords

MathematicsLeast-squares function approximationLinear subspaceTotal least squaresLinear least squaresPrincipal component analysisGeneralized least squaresIteratively reweighted least squaresPrincipal component regressionCovariance matrixExplained sum of squaresLinear regressionLinear modelApplied mathematicsStatisticsRegressionGeometry

Approximating the span of principal components via iterative least-squares

FAIR Checklist

Authors (2)

Funding (2 grants)

Impact

Open Access

Topics