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Revealing stunting risk patterns through comparative analysis of hierarchical and deep embedded clustering methods.

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Title: Revealing stunting risk patterns through comparative analysis of hierarchical and deep embedded clustering methods.
Authors: Mufarroha, Fifin Ayu1, fifin.mufarroha@trunojoyo.ac.id, Rahmat, Abdullah Basuki1, Husni1, Rachmad, Aeri1, Lestari, Vivin Ayu2, Dwiyanti, Tasya1, Maulana, Malik1
Source: Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics & Control; May2026, Vol. 11 Issue 2, p295-310, 16p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194483270
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.22219/kinetik.v11i2.2555
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 16
        StartPage: 295
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      – TitleFull: Revealing stunting risk patterns through comparative analysis of hierarchical and deep embedded clustering methods.
        Type: main
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            NameFull: Mufarroha, Fifin Ayu
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            NameFull: Rahmat, Abdullah Basuki
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            NameFull: Husni
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            NameFull: Rachmad, Aeri
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            NameFull: Lestari, Vivin Ayu
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            NameFull: Dwiyanti, Tasya
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            NameFull: Maulana, Malik
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          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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            – TitleFull: Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics & Control
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