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Clustering High-Dimensional Noisy Categorical Data.

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Title: Clustering High-Dimensional Noisy Categorical Data.
Authors: Tian, Zhiyi1 (AUTHOR), Xu, Jiaming2 (AUTHOR), Tang, Jen3 (AUTHOR) jtang@purdue.edu
Source: Journal of the American Statistical Association. Dec2024, Vol. 119 Issue 548, p3008-3019. 12p.
Database: Mathematics Source
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Header DbId: msf
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An: 181257019
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AR" term="%22Tian%2C+Zhiyi%22">Tian, Zhiyi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Jiaming%22">Xu, Jiaming</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tang%2C+Jen%22">Tang, Jen</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> jtang@purdue.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Statistical+Association%22">Journal of the American Statistical Association</searchLink>. Dec2024, Vol. 119 Issue 548, p3008-3019. 12p.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/01621459.2023.2298028
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 12
        StartPage: 3008
    Titles:
      – TitleFull: Clustering High-Dimensional Noisy Categorical Data.
        Type: main
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          Name:
            NameFull: Tian, Zhiyi
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          Name:
            NameFull: Xu, Jiaming
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            NameFull: Tang, Jen
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            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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              Value: 119
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              Value: 548
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            – TitleFull: Journal of the American Statistical Association
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