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Automating t-SNE parameterization with prototype-based learning of manifold connectivity.

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Bibliographic Details
Title: Automating t-SNE parameterization with prototype-based learning of manifold connectivity.
Authors: Taylor, Josh1, joshtaylor@utexas.edu, Merényi, Erzsébet2, erzsebet@rice.edu
Source: Neurocomputing; Oct2022, Vol. 507, p441-452, 12p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 158748348
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Automating t-SNE parameterization with prototype-based learning of manifold connectivity.
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>; Oct2022, Vol. 507, p441-452, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158748348
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.neucom.2022.07.009
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 12
        StartPage: 441
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      – TitleFull: Automating t-SNE parameterization with prototype-based learning of manifold connectivity.
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            NameFull: Taylor, Josh
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            NameFull: Merényi, Erzsébet
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            – D: 01
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              Text: Oct2022
              Type: published
              Y: 2022
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              Value: 507
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