The art of centering without centering for robust principal component analysis.
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| Title: | The art of centering without centering for robust principal component analysis. |
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| Authors: | Wan, Guihong1,2, gwan@mgh.harvard.edu, He, Baokun3, Schweitzer, Haim3 |
| Source: | Data Mining & Knowledge Discovery; Mar2024, Vol. 38 Issue 2, p699-724, 26p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 175543371 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The art of centering without centering for robust principal component analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wan%2C+Guihong%22">Wan, Guihong</searchLink><relatesTo>1,2</relatesTo>, <i>gwan@mgh.harvard.edu</i><br /><searchLink fieldCode="AU" term="%22He%2C+Baokun%22">He, Baokun</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Schweitzer%2C+Haim%22">Schweitzer, Haim</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Data+Mining+%26+Knowledge+Discovery%22">Data Mining & Knowledge Discovery</searchLink>; Mar2024, Vol. 38 Issue 2, p699-724, 26p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=175543371 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10618-023-00976-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 699 Titles: – TitleFull: The art of centering without centering for robust principal component analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wan, Guihong – PersonEntity: Name: NameFull: He, Baokun – PersonEntity: Name: NameFull: Schweitzer, Haim IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13845810 Numbering: – Type: volume Value: 38 – Type: issue Value: 2 Titles: – TitleFull: Data Mining & Knowledge Discovery Type: main |
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